NoListen

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

chatgpt-google-extension

This project is deprecated. Check my new project ChatHub:

chatGPTBox

Integrating ChatGPT into your browser deeply, everything you need is here

TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

models

Models and examples built with TensorFlow

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Texygen

A text generation benchmarking platform

seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Knover

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

WorldModelsExperiments

World Models Experiments

Awesome-Imitation-Learning

A curated list of awesome imitation learning resources and publications

hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

rocket-lander

SpaceX Falcon 9 Box2D continuous-action simulation with traditional and AI controllers.

fast-weights

🏃 Implementation of Using Fast Weights to Attend to the Recent Past.

georinex

Python RINEX 2 / 3 NAV / OBS / sp3 reader & batch convert to HDF5 with C-like speed

fnc-1

Fake News Challenge

clevr_robot_env

CLEVR-Robot: a reinforcement learning environment combining vision, language and control.

GCRL-Collection

This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmark environments and conclude a series of research works for goal-conditioned reinforcement learning (GCRL).

mrl

redeal

A reimplementation of Thomas Andrews' Deal in Python.

world-model-as-a-graph

Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)

hidio

Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options

mep

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)

GEAPS

CS229-DeepRL

Deep RL for Montezuma's Revenge

Path_Planning

Path planning of a self-driving car along a virtual highway