Pinned Repositories
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".
distributional_rl
Repository for studying distributional rl
HogRider
Malmo Challenge
Oscillator-Simulation
A coupled oscillator simulation in Matlab
pymarl_MaCA
VQGAN-pytorch
Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)
rainwangphy's Repositories
rainwangphy/VQGAN-pytorch
Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)
rainwangphy/adv_diffusion
rainwangphy/gtml
rainwangphy/awesome-MIM
Reading list for research topics in Masked Image Modeling
rainwangphy/Cascading-Decision-Tree
Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning
rainwangphy/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
rainwangphy/CurvGAN
Code for “Curvature Graph Generative Adversarial Networks”
rainwangphy/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
rainwangphy/distribution_shift_framework
This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).
rainwangphy/dreamerv2-1
Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.
rainwangphy/EB_GFN
Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
rainwangphy/EfficientZero
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
rainwangphy/FinQA
Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"
rainwangphy/gpt4all
gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue
rainwangphy/intro_continual_learning
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
rainwangphy/intro_dgm
An Introduction to Deep Generative Modeling: Examples
rainwangphy/jax-cfd
Computational Fluid Dynamics in JAX
rainwangphy/maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
rainwangphy/mini-AlphaStar
A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.
rainwangphy/muzero-general
MuZero
rainwangphy/PhiFlow
A differentiable PDE solving framework for machine learning
rainwangphy/prompt-tuning
Original Implementation of Prompt Tuning from Lester, et al, 2021
rainwangphy/PRUDEX-Compass
rainwangphy/rainwangphy.github.io
rainwangphy/rl-prompt
Accompanying repo for the RLPrompt paper
rainwangphy/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
rainwangphy/segar
Sandbox environment for generalizable agent research
rainwangphy/slimevolleygym
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
rainwangphy/taming-transformers
Taming Transformers for High-Resolution Image Synthesis
rainwangphy/TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: