mengyuethu

Arcade-Learning-Environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

human-level-control-through-deep-reinforcement-learning

Deep Q Networks

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

myRL_pytorch

Reinforcement learning implementation with pytorch.

pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

tianshou

An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

mengyuethu/Arcade-Learning-Environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

mengyuethu/Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

mengyuethu/DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

mengyuethu/human-level-control-through-deep-reinforcement-learning

Deep Q Networks

mengyuethu/mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mengyuethu/myRL_pytorch

Reinforcement learning implementation with pytorch.

mengyuethu/pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

mengyuethu/reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

mengyuethu/tianshou

An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.

mengyuethu/Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

mengyuethu/tutorials