Official implementation of DICL (Disentangled In-Context Learning), featured in the paper Zero-shot Model-based Reinforcement Learning using Large Language Models.

Diffusion model derived evolutionary algorithm

Simple project page template for your research paper, built with Astro and Tailwind CSS

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

A high-throughput and memory-efficient inference and serving engine for LLMs

Leveraging DSPy for AI-driven task understanding and solution generation, the Self-Discover Framework automates problem-solving through reasoning and code generation.

The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

Fay is an open-source digital human framework integrating language models and digital characters. It offers retail, assistant, and agent versions for diverse applications like virtual shopping guid…

Repository for "I am a Strange Dataset: Metalinguistic Tests for Language Models"

Instant voice cloning by MyShell.

Draw a mockup and generate html for it

📕 Clarity in the current fast-paced mess of Open Source innovation

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging …

A list of robotics companies using the Robot Operating System (ROS and ROS 2).

The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

An Open-source Framework for Autonomous Language 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 …

The official repository of "ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory".

一本系统地教你将深度学习模型的性能最大化的战术手册。

An Open Flexible Quadrotor Simulator

SoftVC VITS Singing Voice Conversion

The course text for MIT 6.832 (and 6.832x on edX)