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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Google AI 2018 BERT pytorch implementation
An adversarial example library for constructing attacks, building defenses, and benchmarking both
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
:books: Freely available programming books
Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
Basics of the go language
A guide to contributing to open source
IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs.
Release for Improved Denoising Diffusion Probabilistic Models
Official repository of CVPR 2022 paper InsetGAN
A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"
Code release for Local Light Field Fusion at SIGGRAPH 2019
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
LSUN Dataset Documentation and Demo Code
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Code accompanying the book "Machine Learning for Hackers"
Code release for NeRF (Neural Radiance Fields)
Neural Factorization of Shape and Reflectance Under an Unknown Illumination
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Image-to-image translation with conditional adversarial nets
Practical Python Programming (course by @dabeaz)
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.