yangyi0318's repositories
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
badnets-pytorch
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
paper-reading
比做算法的懂工程落地,比做工程的懂算法模型。
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
cpu
《自己动手写CPU》
raylab
Reinforcement learning algorithms in RLlib
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
CoNAL
Code for AAAI 2021 long paper Learning from Crowds by Modeling Common Confusions.
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
ptan
PyTorch Agent Net: reinforcement learning toolkit for pytorch
garage
A toolkit for reproducible reinforcement learning research.
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
boolean_composition
Code for the paper "A Boolean Task Algebra For Reinforcement Learning"
dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Learning-Independent-SKills
Task dependent skill transformation is challenging due to the ignorance of the relationships between primitive skills. In this project, we propose a skill decomposition algorithm to learn independent skills, which are more suitable than primitive skills for task dependent skill transformation.
cla_demo
Demo code for a clustering-based label-aware autoencoder
spinningup-workspace
Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
composition
Code for the paper "Composing Value Functions in Reinforcement Learning"
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
SoftQLearning
SoftQ Implementation
Tabular-RL-with-Python
Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn