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The Internet Archive Software Collection

The Internet Archive Software Collection is the largest vintage and historical software library in the world, providing instant access to millions of programs, CD-ROM images, documentation and multimedia.

The collection includes a broad range of software related materials including shareware, freeware, video news releases about software titles, speed runs of actual software game play, previews and promos for software games, high-score and skill replays of various game genres, and the art of f...



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Automated Pentest Recon Scanner ABOUT: Sn1per Community Edition is an automated scanner that can be used during a penetration test to enumerate and scan for vulnerabilities. Sn1per Professional is Xero Security's premium reporting addon for Professional Penetration Testers, Bug Bounty Researchers and Corporate Security teams to manage large environments and pentest scopes. For more information regarding Sn1per Professional, go to https://xerosecurity.com. SN1PER PROFESSIONAL FEATURES:...
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Bug Bounty Roadmaps BugBug Bounty Roadmaps 1) The Bug Hunter’s Methodology v4Roadmap 2) SSRF TechniquesRoadmap 3) Web Penetration Tester Roadmap 4) Mobile Penetration Tester Roadmap Network & Infrastructure Penetration Tester Roadmap 5) Server Side Template injection Roadmap 6) More Roadmaps Analysing Javascript Methodologies MY RECON Methodology Finding Server Side issues 7) Nmap Donations You can encourage me to contribute more to the open source with donations. Paypal -...
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2018-2020青年安全圈-活跃技术博主/博客 Security-Data-Analysis-and-Visualization 2018-2020青年安全圈-活跃技术博主/博客 声明 所有数据均来自且仅来自公开信息,未加入个人先验知识,如有疑义,请及时联系root@4o4notfound.org。 公开这批数据是为了大家一起更快更好地学习,请不要滥用这批数据,由此引发的问题,本人将概不负责。 Why 最初目的...
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🛡️ Awesome Cloud Security Resources ⚔️ A curated list of awesome cloud security related resources. Awesome Cloud Security 🛡️ Awesome Cloud Security Resources ⚔️ Contents Standards Tools Reading materials Resource Contributing Standards Compliances Benchmarks Compliances CSA STAR ISO/IEC 27017:2015 ISO/IEC 27018:2019 MTCS SS 584 Benchmarks CIS Benchmark Tools Infrastrcture Container SaaS Penetration testing/leaerning Native tools Infrastrcture aws_pwn : A collection of AWS...
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Modern infrastructure of complex SPA Modern Infrastructure Of Complex SPA Miox is an SPA management framework. In classic web development, browser creates and manages a series of lifecycle activities of web page, such as session history, page creation, discard, pageshow, pagehide, on which developers can process their own logic. In an SPA application, developers have to deal with all these events by themselves, or by a framework that deals with them. Miox is yet another framework deals with...
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Modern infrastructure of complex SPA Modern Infrastructure Of Complex SPA Miox is an SPA management framework. In classic web development, browser creates and manages a series of lifecycle activities of web page, such as session history, page creation, discard, pageshow, pagehide, on which developer can process there own logic. In an SPA application, developers have to deal with all these events by themselves, or by an framework that deals with them. Miox is yet another framework deals with...
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Based on a true story Hacker Scripts Based on a truestory : xxx: OK, so, our build engineer has left for another company. The dude was literally living inside the terminal. You know, that type of a guy who loves Vim, creates diagrams in Dot and writes wiki-posts in Markdown... If something - anything - requires more than 90 seconds of his time, he writes a script to automate that. xxx: So we're sitting here, looking through his, uhm, "legacy" xxx: You're gonna love this xxx:...
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Based on a true story English | 简体中文 Hacker Scripts Based on a truestory : xxx: OK, so, our build engineer has left for another company. The dude was literally living inside the terminal. You know, that type of a guy who loves Vim, creates diagrams in Dot and writes wiki-posts in Markdown... If something - anything - requires more than 90 seconds of his time, he writes a script to automate that. xxx: So we're sitting here, looking through his, uhm, "legacy" xxx: You're gonna...
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Based on a true story English | 简体中文 Hacker Scripts Based on a truestory : xxx: OK, so, our build engineer has left for another company. The dude was literally living inside the terminal. You know, that type of a guy who loves Vim, creates diagrams in Dot and writes wiki-posts in Markdown... If something - anything - requires more than 90 seconds of his time, he writes a script to automate that. xxx: So we're sitting here, looking through his, uhm, "legacy" xxx: You're gonna...
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Based on a true story Hacker Scripts Based on a truestory : xxx: OK, so, our build engineer has left for another company. The dude was literally living inside the terminal. You know, that type of a guy who loves Vim, creates diagrams in Dot and writes wiki-posts in Markdown... If something - anything - requires more than 90 seconds of his time, he writes a script to automate that. xxx: So we're sitting here, looking through his, uhm, "legacy" xxx: You're gonna love this xxx:...
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Based on a true story English | 简体中文 Hacker Scripts Based on a truestory : xxx: OK, so, our build engineer has left for another company. The dude was literally living inside the terminal. You know, that type of a guy who loves Vim, creates diagrams in Dot and writes wiki-posts in Markdown... If something - anything - requires more than 90 seconds of his time, he writes a script to automate that. xxx: So we're sitting here, looking through his, uhm, "legacy" xxx: You're gonna...
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A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022) NATSpeech: A Non-Autoregressive Text-to-Speech Framework...
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CD-ROM Images
by NCE/UFRJ
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An old download I found of TROPIX 4.9.0, a Brazilian clean room implementation of UNIX. Instructions are in Portuguese (as expected). TROPIX: Sistema Operacional Tempo-Real Multiprocessado Copyright ⌐ 2008 NCE/UFRJ - tecle "man licenτa"
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Operational information regarding the log4shell vulnerabilities in the Log4j logging library. Log4shell vulnerabilities (CVE-2021-44228, CVE-2021-45046, CVE-2021-4104, CVE-2021-45105) This repo contains operational information regarding the Log4shell vulnerability in the Log4j logging library. Especially CVE-2021-44228 / CVE-2021-45046 and also covers CVE-2021-4104 / CVE-2021-45105. For additional information see: NCSC-NL advisory MITRE CSIRT network members advisories Log4shell vulnerability...
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Operational information regarding the log4shell vulnerabilities in the Log4j logging library. Log4shell vulnerabilities (CVE-2021-44228, CVE-2021-45046, CVE-2021-4104, CVE-2021-45105) This repo contains operational information regarding the Log4shell vulnerability in the Log4j logging library. Especially CVE-2021-44228 / CVE-2021-45046 and also covers CVE-2021-4104 / CVE-2021-45105. For additional information see: NCSC-NL advisory MITRE CSIRT network members advisories Log4shell vulnerability...
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An enterprise-class UI components based on Ant Design and Angular. 🐜 NG-ZORRO An enterprise-class UI components based on Ant Design and Angular. 中文 README Features An enterprise-class UI design language for web applications. A set of high-quality Angular components out of the box. Written in TypeScript with complete define types. Environment Support Modern browsers and Internet Explorer 9+(with polyfills )。 Angular Version Support Angular ^4.0.0 Install bash$ npm install...
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Angular UI Component Library based on Ant Design NG-ZORRO An enterprise-class Angular UI component library based on Ant Design.[![Azure...
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None NCAlert To restore the repository, download the bundle NICENC-NCAlertView_-_2017-06-22_14-12-22.bundle and run: git clone NICENC-NCAlertView_-_2017-06-22_14-12-22.bundle -b master Source: https://github.com/NICENC/NCAlertView Uploader: NICENC Upload date: 2017-06-22
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此项目是机器学习(Machine Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。 项目介绍 此项目是 机器学习、NLP面试 中常考到的 知识点和代码实现 ,也是作为一个算法工程师必会的理论基础知识。 既然是以面试为主要目的,亦不可以篇概全,请谅解,有问题可提出。 此项目以各个模块为切入点,让大家有一个清晰的知识体系。...
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Download the bundle NLP4L-nlp4l_-_2017-03-28_01-31-49.bundle and run: git clone NLP4L-nlp4l_-_2017-03-28_01-31-49.bundle -b master provide preprocessing platform for Lucene indexing and comprehensive Learning-to-Rank modules NLP4L/nlp4l Documentation for NLP4L/nlp4l. See http://nlp4l.github.io/ Source: https://github.com/NLP4L/nlp4l Uploader: NLP4L Upload date: 2016-11-15
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:thumbsup: :thumbsup:逐行剖析Vue.js源码 在线阅读地址https://nlrx-wjc.github.io/Learn-Vue-Source-Code/ 1. 前言 博主作为一名前端开发,日常开发的技术栈是 Vue ,并且用 Vue 开发也有一年多了,对其用法也较为熟练了,但是对各种用法和各种 api 使用都是只知其然而不知其所以然,因此,有时候在排查 bug 的时候就会有点捉襟见肘。鉴于此,索性就从 github 上 clone 下来一份 Vue...
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:thumbsup: :thumbsup:逐行剖析Vue.js源码 在线阅读地址https://nlrx-wjc.github.io/Learn-Vue-Source-Code/ Learn-Vue-Source-Code 1. 前言 博主作为一名前端开发,日常开发的技术栈是 Vue ,并且用 Vue 开发也有一年多了,对其用法也较为熟练了,但是对各种用法和各种 api 使用都是只知其然而不知其所以然,因此,有时候在排查 bug 的时候就会有点捉襟见肘。鉴于此,索性就从 github 上 clone 下来一份 Vue...
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:thumbsup: :thumbsup:逐行剖析Vue.js源码 在线阅读地址https://nlrx-wjc.github.io/Learn-Vue-Source-Code/ 1. 前言 博主作为一名前端开发,日常开发的技术栈是 Vue ,并且用 Vue 开发也有一年多了,对其用法也较为熟练了,但是对各种用法和各种 api 使用都是只知其然而不知其所以然,因此,有时候在排查 bug 的时候就会有点捉襟见肘。鉴于此,索性就从 github 上 clone 下来一份 Vue...
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:thumbsup: :thumbsup:逐行剖析Vue.js源码 在线阅读地址https://nlrx-wjc.github.io/Learn-Vue-Source-Code/ 1. 前言 博主作为一名前端开发,日常开发的技术栈是 Vue ,并且用 Vue 开发也有一年多了,对其用法也较为熟练了,但是对各种用法和各种 api 使用都是只知其然而不知其所以然,因此,有时候在排查 bug 的时候就会有点捉襟见肘。鉴于此,索性就从 github 上 clone 下来一份 Vue...
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诺兰方舟 诺兰方舟 注意 注意注意 个人学习项目 请勿使用 AMD更新 cd /root/Ark docker stop ark git pull docker start ark ARM更新 查询占用5701的端口进程 如果你的ARJ是5701就查询 5701 netstat -lnp|grep 5701 假如显示如下内容tcp6 0 0 :::5701 :::* LISTEN 680536/dotnet 杀死进程 kill -9 680536 cd /root/Ark git pull export PATH="$PATH:$HOME/.dotnet" ```nohup dotnet NETJDC.dll --urls=http://*:5701 1>"$(pwd)"/log 2>&1 &...
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诺兰方舟 Ark 注意 注意注意 防狗乱咬防止泛滥没有许可 用不了 许可免费 Windows安装教程 1安装ASP.NET Core Runtime 5.0.12 安装地址:https://dotnet.microsoft.com/download/dotnet/5.0下载之后无脑下一步 2下载当前项目源码解压 3根据自己系统将dll复制根目录即可 64位 复制runtimes\win-x64\native\OpenCvSharpExtern.dll到根目录 32位 复制runtimes\win-x86\native\OpenCvSharpExtern.dll到根目录 启动 管理员打开CMD...
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诺兰方舟 Ark 注意 注意注意 防狗乱咬防止泛滥没有许可 用不了 许可免费 Windows安装教程 1安装ASP.NET Core Runtime 5.0.12 安装地址:https://dotnet.microsoft.com/download/dotnet/5.0下载之后无脑下一步 2下载当前项目源码解压 3删除NETJDC.deps.json 4根据自己系统将dll复制根目录即可 64位 复制runtimes\win-x64\native\OpenCvSharpExtern.dll到根目录 32位 复制runtimes\win-x86\native\OpenCvSharpExtern.dll到根目录 启动...
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诺兰方舟 诺兰方舟 注意 注意注意 个人学习项目 请勿使用 AMD更新 cd /root/Ark docker stop ark git pull docker start ark ARM更新 查询占用5701的端口进程 如果你的ARJ是5701就查询 5701 netstat -lnp|grep 5701 假如显示如下内容tcp6 0 0 :::5701 :::* LISTEN 680536/dotnet 杀死进程 kill -9 680536 cd /root/Ark git pull export PATH="$PATH:$HOME/.dotnet" ```nohup dotnet NETJDC.dll --urls=http://*:5701 1>"$(pwd)"/log 2>&1 &...
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open-archaeo
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Fluorescence fitting GUI. To restore the repository download the bundle wget https://archive.org/download/github.com-NSLS-II-PyXRF_-_2021-02-03_16-51-52/NSLS-II-PyXRF_-_2021-02-03_16-51-52.bundle and run: git clone NSLS-II-PyXRF_-_2021-02-03_16-51-52.bundle Source: https://github.com/NSLS-II/PyXRF Uploader: NSLS-II Upload date: 2021-02-03
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Inspired by @veltman's command-line mystery, use SQL to research clues and find out whodunit! SQL Murder Mystery There's been a Murder in SQL City! The SQL Murder Mystery is designed to be both a self-directed lesson to learn SQL concepts and commands and a fun game for experienced SQL users to solve an intriguing crime. If you just want to solve the mystery, go to mystery.knightlab.com . If you're new to SQL, you may want to start at our walkthrough . It won't teach you everything about SQL,...
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All-in-one AI container for rapid prototyping All-in-one AI development container for rapid prototyping, compatible with the nvidia-docker GPU-accelerated container runtime as well as JupyterHub. This is designed as a lighter and more portable alternative to various cloud provider "Deep Learning Virtual Machines". Get up and running with a wide range of machine learning and deep learning tasks by pulling and running the container on your workstation, on the cloud or within JupyterHub....
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None FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved.Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). About This code repository contains an implementation of our fast photorealistic style transfer algorithm. Given a content photo and a style photo, the code can transfer the style of the style photo to the content photo. The details of the algorithm behind the code is documented in our arxiv paper. Please...
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Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks flownet2-pytorch Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks . FlowNet2 Caffe implementation : flownet2 Multiple GPU training is supported, and the code provides examples for training or inference on MPI-Sintel clean and final datasets. The same commands can be used for training or inference with other datasets. See below for more detail. Inference...
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Deep Learning Examples NVIDIA Deep Learning Examples for Tensor Cores Introduction This repository provides the latest deep learning example networks for training. These examples focus on achieving the best performance and convergence from NVIDIA Volta Tensor Cores. NVIDIA GPU Cloud (NGC) Container Registry These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These...
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None FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved.Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). About This code repository contains an implementation of our fast photorealistic style transfer algorithm. Given a content photo and a style photo, the code can transfer the style of the style photo to the content photo. The details of the algorithm behind the code is documented in our arxiv paper. Please...
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Deep Learning Examples NVIDIA Deep Learning Examples for Volta Tensor Cores Introduction This repository provides the latest deep learning example networks for training. These examples focus on achieving the best performance and convergence from NVIDIA Volta Tensor Cores. NVIDIA GPU Cloud (NGC) Container Registry These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These...
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Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks flownet2-pytorch Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks . Multiple GPU training is supported, and the code provides examples for training or inference on MPI-Sintel clean and final datasets. The same commands can be used for training or inference with other datasets. See below for more detail. Inference using fp16 (half-precision) is also...
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CUDA Templates for Linear Algebra Subroutines CUTLASS 2.8 CUTLASS 2.8 - November 2021 CUTLASS is a collection of CUDA C++ template abstractions for implementinghigh-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components...
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Unsupervised Language Modeling at scale for robust sentiment classification PyTorch Unsupervised Sentiment Discovery This codebase is part of our effort to reproduce, analyze, and scale the Generating Reviews and Discovering Sentiment paper from OpenAI. Early efforts have yielded a training time of 5 days on 8 volta-class gpus down from the training time of 1 month reported in the paper. A byte-level (char-level) recurrent language model ( multiplicative LSTM ) for unsupervised modeling of...
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Deep Learning Examples NVIDIA Deep Learning Examples for Tensor Cores Introduction This repository provides State-of-the-Art Deep Learning examples that are easy to train and deploy, achieving the best reproducible accuracy and performance with NVIDIA CUDA-X software stack running on NVIDIA Volta, Turing and Ampere GPUs. NVIDIA GPU Cloud (NGC) Container Registry These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC...
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Neural Modules: a toolkit for conversational AI To restore the repository download the bundle wget https://archive.org/download/github.com-NVIDIA-NeMo_-_2019-09-17_00-11-50/NVIDIA-NeMo_-_2019-09-17_00-11-50.bundle and run: git clone NVIDIA-NeMo_-_2019-09-17_00-11-50.bundle Source: https://github.com/NVIDIA/NeMo Uploader: NVIDIA Upload date: 2019-09-17
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Deep Learning Examples NVIDIA Deep Learning Examples for Tensor Cores Introduction This repository provides State-of-the-Art Deep Learning examples that are easy to train and deploy, achieving the best reproducible accuracy and performance with NVIDIA CUDA-X software stack running on NVIDIA Volta, Turing and Ampere GPUs. NVIDIA GPU Cloud (NGC) Container Registry These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC...
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TensorRT is a C++ library that facilitates high performance inference on NVIDIA GPUs and deep learning accelerators. TensorRT Open Source Software This repository contains the Open Source Software (OSS) components of NVIDIA TensorRT. Included are the sources for TensorRT plugins and parsers (Caffe and ONNX), as well as sample applications demonstrating usage and capabilities of the TensorRT platform. Prerequisites To build the TensorRT OSS components, ensure you meet the following package...
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Deep Learning Examples NVIDIA Deep Learning Examples for Volta Tensor Cores Introduction This repository provides the latest deep learning example networks for training. These examples focus on achieving the best performance and convergence from NVIDIA Volta Tensor Cores. NVIDIA GPU Cloud (NGC) Container Registry These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These...
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Deep Learning Examples NVIDIA Deep Learning Examples for Volta Tensor Cores Introduction This repository provides the latest deep learning example networks for training. These examples focus on achieving the best performance and convergence from NVIDIA Volta Tensor Cores. NVIDIA GPU Cloud (NGC) Container Registry These examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These...
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Unsupervised Language Modeling at scale for robust sentiment classification PyTorch Unsupervised Sentiment Discovery This codebase is part of our effort to reproduce, analyze, and scale the Generating Reviews and Discovering Sentiment paper from OpenAI. Early efforts have yielded a training time of 5 days on 8 volta-class gpus down from the training time of 1 month reported in the paper. A byte-level (char-level) recurrent language model ( multiplicative LSTM ) for unsupervised modeling of...
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TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators. TensorRT Open Source Software This repository contains the Open Source Software (OSS) components of NVIDIA TensorRT. Included are the sources for TensorRT plugins and parsers (Caffe and ONNX), as well as sample applications demonstrating usage and capabilities of the TensorRT platform. Prerequisites To build the TensorRT OSS components, ensure you meet the following package requirements:...
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Deep learning for recommender systems Deep AutoEncoders for Collaborative Filtering This is not an official NVIDIA product. It is a research project described in: "Training Deep AutoEncoders for Collaborative Filtering"(https://arxiv.org/abs/1708.01715) The model The model is based on deep AutoEncoders. Requirements Python 3.6 Pytorch CUDA (recommended version is 8.0) Getting Started Run unittests first The code is intended to run on GPU. Last test can take a minute or two. $ python...
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Neural Modules: a toolkit for conversational AI To restore the repository download the bundle wget https://archive.org/download/github.com-NVIDIA-NeMo_-_2019-09-18_00-06-49/NVIDIA-NeMo_-_2019-09-18_00-06-49.bundle and run: git clone NVIDIA-NeMo_-_2019-09-18_00-06-49.bundle Source: https://github.com/NVIDIA/NeMo Uploader: NVIDIA Upload date: 2019-09-18
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Unsupervised Language Modeling at scale for robust sentiment classification PyTorch Unsupervised Sentiment Discovery This codebase is part of our effort to reproduce, analyze, and scale the Generating Reviews and Discovering Sentiment paper from OpenAI. Early efforts have yielded a training time of 5 days on 8 volta-class gpus down from the training time of 1 month reported in the paper. A byte-level (char-level) recurrent language model ( multiplicative LSTM ) for unsupervised modeling of...
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The TensorRT Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs. To restore the repository download the bundle wget https://archive.org/download/github.com-NVIDIA-tensorrt-inference-server_-_2019-06-28_01-13-32/NVIDIA-tensorrt-inference-server_-_2019-06-28_01-13-32.bundle and run: git clone NVIDIA-tensorrt-inference-server_-_2019-06-28_01-13-32.bundle Source: https://github.com/NVIDIA/tensorrt-inference-server Uploader: NVIDIA Upload date: 2019-06-28
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Synthesizing and manipulating 2048x1024 images with conditional GANs pix2pixHD Project | Youtube | Paper Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation. It can be used for turning semantic label maps into photo-realistic images or synthesizing portraits from face label maps. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang 1 , Ming-Yu Liu 1 , Jun-Yan Zhu 2 , Andrew Tao 1 , Jan...
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Documentation of NVIDIA chip/hardware interfaces NVIDIA open-gpu-doc repository For an alternate view of this site, that renders HTML content directly inyour browser (for example, BIOS-Information-Table/BIOS-Information-Table.html),please see the "github pages" view, here: https://nvidia.github.io/open-gpu-doc/ This content was originally kept at: http://download.nvidia.com/open-gpu-doc/ ...but has been moved to github, mainly for easier version tracking. Some ofthese documents get...
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2048x1024 image synthesis and mainpulation with conditional GANs pix2pixHD [Project] [Youtube] [Paper] Pytorch implementation for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation, for example, turning semantic label maps into photo-realistic images or synthesizing portraits from face label maps. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang 1 , Ming-Yu Liu 1 , Jun-Yan Zhu 2 , Andrew Tao 1 , Jan Kautz 1 , Bryan Catanzaro...
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Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks flownet2-pytorch Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks . FlowNet2 Caffe implementation : flownet2 Multiple GPU training is supported, and the code provides examples for training or inference on MPI-Sintel clean and final datasets. The same commands can be used for training or inference with other datasets. See below for more detail. Inference...
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Download the bundle NVIDIA-vid2vid_-_2018-08-19_07-10-14.bundle and run: git clone NVIDIA-vid2vid_-_2018-08-19_07-10-14.bundle -b master Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation. vid2vid [Project] [YouTube] Paper will appear on Arxiv on Aug 20. Pytorch implementation of our method for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation. It can be used for turning semantic label maps into...
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None FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved.Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). About This code repository contains an implementation of our fast photorealistic style transfer algorithm. Given a content photo and a style photo, the code can transfer the style of the style photo to the content photo. The details of the algorithm behind the code is documented in our arxiv paper. Please...
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A Flow-based Generative Network for Speech Synthesis WaveGlow: a Flow-based Generative Network for Speech Synthesis Ryan Prenger, Rafael Valle, and Bryan Catanzaro In our recent [paper], we propose WaveGlow: a flow-based network capableof generating high quality speech from mel-spectrograms. WaveGlowcombines insights from [Glow] and [WaveNet] in order to provide fast,efficient and high-quality audio synthesis, without the need forauto-regression. WaveGlow is implemented using only a single...
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NeMo: a toolkit for conversational AI To restore the repository download the bundle wget https://archive.org/download/github.com-NVIDIA-NeMo_-_2020-10-03_06-46-47/NVIDIA-NeMo_-_2020-10-03_06-46-47.bundle and run: git clone NVIDIA-NeMo_-_2020-10-03_06-46-47.bundle Source: https://github.com/NVIDIA/NeMo Uploader: NVIDIA Upload date: 2020-10-03
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Ongoing research training transformer language models at scale, including: BERT Megatron is a large, powerful transformer. This repo is for ongoing research on training large, powerful transformer language models at scale. Currently, we support model-parallel, multinode training of GPT2 and BERT in mixed precision. Our codebase is capable of efficiently training a 72-layer, 8.3 Billion Parameter GPT2 Language model with 8-way model and 64-way data parallelism across 512 GPUs. We find that...
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An easy to use PyTorch to TensorRT converter torch2trt torch2trt is a PyTorch to TensorRT converter which utilizes the TensorRT Python API. The converter is Easy to use - Convert modules with a single function call torch2trt Easy to extend - Write your own layer converter in Python and register it with @tensorrt_converter If you find an issue, please let us know ! Please note, this converter has limited coverage of TensorRT / PyTorch. We created it primarily to easily optimize the models used...
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A PyTorch Library for Accelerating 3D Deep Learning Research Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research Documentation | Paper Kaolin is a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D modules for use in deep learning systems. With functionality to load and preprocess several popular 3D datasets, and native functions to manipulate meshes, pointclouds, signed distance functions, and voxel...
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A PyTorch Library for Accelerating 3D Deep Learning Research Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research Documentation | Paper Kaolin is a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D modules for use in deep learning systems. With functionality to load and preprocess several popular 3D datasets, and native functions to manipulate meshes, pointclouds, signed distance functions, and voxel...
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Download the bundle NVIDIAGameWorks-PhysX-3.4_-_2018-12-03_15-32-17.bundle and run: git clone NVIDIAGameWorks-PhysX-3.4_-_2018-12-03_15-32-17.bundle -b master NVIDIA PhysX SDK 3.4 NVIDIA PhysX SDK 3.4 Copyright (c) 2018 NVIDIA Corporation. All rights reserved. Redistribution and use in source and binary forms, with or withoutmodification, are permitted provided that the following conditionsare met: * Redistributions of source code must retain the above copyright notice, this list of conditions...
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A PyTorch Library for Accelerating 3D Deep Learning Research Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research Documentation | Paper Kaolin is a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D modules for use in deep learning systems. With functionality to load and preprocess several popular 3D datasets, and native functions to manipulate meshes, pointclouds, signed distance functions, and voxel...
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Download the bundle NVISO-BE-binsnitch_-_2017-05-18_06-24-35.bundle and run: git clone NVISO-BE-binsnitch_-_2017-05-18_06-24-35.bundle -b master Detect silent (unwanted) changes to files on your system binsnitch.py binsnitch can be used to detect silent unwanted changes to files on your system.It will scan a given directory recursively for files and keep track of any changes it detects, based on the SHA256 hash of the file.You have the option to either track executable files, or all files....
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None EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks Official PyTorch implementation Efficient Geometry-aware 3D Generative Adversarial Networks Eric R. Chan , Connor Z. Lin , Matthew A. Chan , Koki Nagano , Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, and Gordon Wetzstein * equal contribution https://matthew-a-chan.github.io/EG3D Abstract: Unsupervised generation of high-quality multi-view-consistent images and 3D...
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Instant neural graphics primitives: lightning fast NeRF and more Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a factory robot? Of course you have! Here you will find an implementation of four neural graphics primitives , being neural radiance fields (NeRF), signed distance functions (SDFs), neural images, and neural volumes.In each case, we train and render a MLP with multiresolution hash input...
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Instant neural graphics primitives: lightning fast NeRF and more Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a factory robot? Of course you have! Here you will find an implementation of four neural graphics primitives , being neural radiance fields (NeRF), signed distance functions (SDFs), neural images, and neural volumes.In each case, we train and render a MLP with multiresolution hash input...
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Multimodal Unsupervised Image-to-Image Translation MUNIT: Multimodal UNsupervised Image-to-image Translation License Copyright (C) 2018 NVIDIA Corporation. All rights reserved.Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). Code usage Please check out the user manual page . Paper Xun Huang , Ming-Yu Liu , Serge Belongie , Jan Kautz , " Multimodal Unsupervised Image-to-Image Translation " arXiv preprint arXiv:1804.04732 Results...
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Instant neural graphics primitives: lightning fast NeRF and more Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a factory robot? Of course you have! Here you will find an implementation of four neural graphics primitives , being neural radiance fields (NeRF), signed distance functions (SDFs), neural images, and neural volumes.In each case, we train and render a MLP with multiresolution hash input...
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StyleGAN2 - Official TensorFlow Implementation StyleGAN2 — Official TensorFlow Implementation Analyzing and Improving the Image Quality of StyleGAN Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila Paper: http://arxiv.org/abs/1912.04958 Video: https://youtu.be/c-NJtV9Jvp0 Abstract: The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its...
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Instant neural graphics primitives: lightning fast NeRF and more Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a factory robot? Of course you have! Here you will find an implementation of four neural graphics primitives , being neural radiance fields (NeRF), signed distance functions (SDFs), neural images, and neural volumes.In each case, we train and render a MLP with multiresolution hash input...
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Lightning fast & tiny C++/CUDA neural network framework Tiny CUDA Neural Networks This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning fast "fully fused" multi-layer perceptron as well as support for various advanced input encodings, losses, and optimizers. Performance Fully fused networks vs. TensorFlow v2.5.0 w/ XLA. Measured on 64 (solid line) and 128 (dashed line) neurons wide multi-layer perceptrons on an...
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Instant neural graphics primitives: lightning fast NeRF and more Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a factory robot? Of course you have! Here you will find an implementation of four neural graphics primitives , being neural radiance fields (NeRF), signed distance functions (SDFs), neural images, and neural volumes.In each case, we train and render a MLP with multiresolution hash input...
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