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- www.neuralnet.ai
- @MLwithPhil
- https://www.youtube.com/MachineLearningWithPhil
Stars
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
There is a lot of scattered information on how to succeed with Nvidia GPUs and Ubuntu 22.04. This is what worked for us with a 3070 GPU.
Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Fine-tune LLM agents with online reinforcement learning
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Repository dedicated to developing a robust and modular framework for Multi-Agent Reinforcement Learning (MARL) algorithms.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Generative Agents: Interactive Simulacra of Human Behavior
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement learning agents.
Implementations of Curious Replay for model-based adaptation.
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
OpenSource GPU, in Verilog, loosely based on RISC-V ISA
A Python interface for reinforcement learning environments
TensorFlow-based neural network library
A library of reinforcement learning components and agents
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
PyTorch implementation of DDPG with Hindsight Experience Replay (HER)
Set of robotic environments based on PyBullet physics engine and gymnasium.
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Deep Q-learning for playing tetris game