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[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
[CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".
A Toolbox for Adversarial Robustness Research
A fully differentiable architecture search for GANs
The Abstraction and Reasoning Corpus made into a web game
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Automated deep learning algorithms implemented in PyTorch.
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Awesome Graph Self-Supervised Learning
Reading list for research topics in Masked Image Modeling
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Instances for “A Coalition Structure Algorithm for Large-scale Collaborative Pickup and Delivery Problem”
The author's officially unofficial PyTorch BigGAN implementation.
Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"
This is a minimal CityBuilder Unity project with different type of building. We can add more buildings in Static data and it is maintaining the Game state of the player.
Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.
Code for our SIGIR'21 paper "Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs"
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
A PyTorch implementation of COT-GAN
Code for “Curvature Graph Generative Adversarial Networks”
:deciduous_tree::house_with_garden::office::evergreen_tree: A city building simulation game
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.