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abstraction

This repo provides a scalable way of investigating the layer-by-layer evolution of abstraction in deep neural networks.

blokus_ai

Rainbow to solve blokus gym env

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

cathedral-rl

Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo

cff-converter-python

Command line program to validate and convert CITATION.cff files.

chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

cogment-verse

Research platform for Human-in-the-loop learning (HILL) & Multi-Agent Reinforcement Learning (MARL)

ctf

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

elliottower

elliottower.github.io

Minimalist portfolio using gh-pages and GitHub actions to embed recent GitHub/WakaTime activity and convert resume PDF to display in Markdown

farama.org

gobblet-rl

Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.

gymnasium

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

jamesgeorge007

🙌

knight-solution-driver-program

Driver Program for the knight problem

lab

A customisable 3D platform for agent-based AI research

magent2

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

minigrid

Simple and easily configurable grid world environments for reinforcement learning

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

ocp

https://opencatalystproject.org/

pettingzoo

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

protoqa_gpt2

This is the GPT2 baseline for ProtoQA

protoqa_macaw

Baseline of Allenai's Macaw model for use with ProtoQA dataset

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

sentimentanalysis