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airsim-neurips2019-drone-racing

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

ariel

Ariel: Analysis of Rare Incident-Event Languages

awesome-timeseries-spatiotemporal-lm-llm

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

babyagi

bilstm-debias

This is a joint RNN model, which jointly models clean annotated data and noise projected data.

chatglm-tuning

一种平价的chatgpt实现方案, 基于ChatGLM-6B

cher

Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

dher

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

energybasedprioritization

Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-minigrid

Minimalistic Gridworld Package for Gym maintained by the Farama Foundation

highway-env

A minimalist environment for decision-making in autonomous driving

hindsight-experience-replay

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

input-free-attack

Towards Query Efficient Black-box Attacks: An Input-free Perspective

levdoom

Platform for training generalizable deep reinforcement learning agents

livnlp.github.io

University of Liverpool, Natural Language Processing Group

llm-eval-survey

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

mengf1.github.io

morphology-opt

Code for the paper Task Agnostic Morphology Evolution.

omgemotionchallenge-text

opendomainqa

pal

Policy based Active Learning with DQN (EMNLP-2017)

parlai_agents

# ParlAI Agent examples with PyTorch, Chainer and TensorFlow

pygta5

Explorations of Using Python to play Grand Theft Auto 5.

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

sample-factory

High throughput asynchronous reinforcement learning

seqs-dl

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.