rainwangphy Goto Github PK

adv-ss-pretraining

[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

adv_diffusion

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

adversarialcommunication

adversarialnas

[CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".

advertorch

A Toolbox for Adversarial Robustness Research

alphagan

A fully differentiable architecture search for GANs

arc-game

The Abstraction and Reasoning Corpus made into a web game

arcface-pytorch

arm

atari-model-zoo

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.

attacking-neural-networks

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

autogan

[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

Awesome Graph Self-Supervised Learning

awesome-mim

Reading list for research topics in Masked Image Modeling

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

benchmarks-for-collaborative-pickup-and-delivery-problem-with-time-windows

Instances for “A Coalition Structure Algorithm for Large-scale Collaborative Pickup and Delivery Problem”

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cascading-decision-tree

Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning

cgate

Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"

citybuilder

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.

cka

Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

codegen

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.

conquer

Code for our SIGIR'21 paper "Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs"

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

cot-gan-pytorch

A PyTorch implementation of COT-GAN

curvgan

Code for “Curvature Graph Generative Adversarial Networks”

cytopia

:deciduous_tree::house_with_garden::office::evergreen_tree: A city building simulation game