shichao2023 Goto Github PK

academic-kickstart

Personal website code

an-intuitive-tutorial-to-gaussian-processes-regression

An Intuitive Tutorial to Gaussian Processes Regression

animl

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

bayesnewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

bcq

Author's PyTorch implementation of BCQ for continuous and discrete actions

cql

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

cuda-opencv-pytorch

Docker Files for OpenCV with CUDA and PyTorch with CUDA on Ubuntu 20.04 LTS

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-reinforcement-learning-with-pytorch-1

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dl3d-seminar

Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

dueling-double-dqn-pytorch

An implementation of Dueling Double DQN in Pytorch.

duelingddqn

A simple PyTorch implementation of Dueling Double DQN

e6tag

edward2

A simple probabilistic programming language.

homepage

iclr2022_stats

imagenet_metadata

ILSVRC2012_devkit_t12.tar.gz

kkndme_tianya

天涯 kkndme 神贴聊房价

mcar

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

personal-website

quantile-regression-dqn-pytorch

A very short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning

qzhang95.github.io

Homepage:

reinforcement-learning

Implementation of selected Reinforcement Learning Algorithms

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rlcode

shot

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

singularity

Official PyTorch code for Singularity model in the paper "Revealing Single Frame Bias for Video-and-Language Learning"

slip

Code release for SLIP Self-supervision meets Language-Image Pre-training

td3_bc

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL