Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for training large language models.

Minimal implementations of Quality Diversity algorithms

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization (ICML 2024)

GPU programming related news and material links

[Neurips 2023] Generating Mario Levels with GPT2. Code for the paper "MarioGPT: Open-Ended Text2Level Generation through Large Language Models" https://arxiv.org/abs/2302.05981

An Open-Ended Embodied Agent with Large Language Models

Awesome Open-ended AI

Paired Open-Ended Trailblazer (POET) and Enhanced POET

A python implementation of differentiable quality diversity.

A bare-bones Python library for quality diversity optimization.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

A collection of papers on divergence and quality diversity

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Evolution Through Large Models

RL Environments in JAX 🌍

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Evolution Strategies in JAX 🦎

Accelerated Quality-Diversity

This is the repository of the F1TENTH Gym environment.

Augmented reality browser-based implementation of Line Rider

MAGMA - a GPT-style multimodal model that can understand any combination of images and language. NOTE: The freely available model from this repo is only a demo. For the latest multimodal and multil…

Hello, this was my team's ( CornerTakenQuickly ) submission for the Formula Trinity AI Grand Prix. More information can be found in the README.md file. Hope you enjoy!

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.