yangyi0318's repositories
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
badnets-pytorch
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
boolean_composition
Code for the paper "A Boolean Task Algebra For Reinforcement Learning"
cla_demo
Demo code for a clustering-based label-aware autoencoder
composition
Code for the paper "Composing Value Functions in Reinforcement Learning"
CoNAL
Code for AAAI 2021 long paper Learning from Crowds by Modeling Common Confusions.
cpu
《自己动手写CPU》
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
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
garage
A toolkit for reproducible reinforcement learning research.
hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic 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.
paper-reading
比做算法的懂工程落地，比做工程的懂算法模型。
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
raylab
Reinforcement learning algorithms in RLlib
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.
SoftQLearning
SoftQ Implementation
spinningup-workspace
Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Tabular-RL-with-Python
Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn