daizhongxiang

AutoGPT

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.

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

pysc2

StarCraft II Learning Environment

pipreqs

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

GPT-4-LLM

Instruction Tuning with GPT-4

awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

Baichuan-13B

A 13B large language model developed by Baichuan Intelligent Technology

neural-tangents

Fast and Easy Infinite Neural Networks in Python

smac

SMAC: The StarCraft Multi-Agent Challenge

data-centric-AI

A curated, but incomplete, list of data-centric AI resources.

bayesoptbook.github.io

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

GreenPepper

alpaca_farm

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

Quantum

Awesome-LLMs-meet-Multimodal-Generation

🔥🔥🔥 A curated list of papers on LLMs-based multimodal generation (image, video, 3D and audio).

bocoel

Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

gauche

A Library for Gaussian Processes in Chemistry

mol_opt

alpaca-chinese-dataset

Alpaca Chinese Dataset -- 中文指令微调数据集【人工+GPT4o持续更新】

awesome-fm4co

Recent research papers about Foundation Models for Combinatorial Optimization

bayex

Minimal Implementation of Bayesian Optimization in JAX

awesome-rlhf

An index of algorithms for reinforcement learning from human feedback (rlhf))

LLM-Agent-Benchmark-List

A banchmark list for evaluation of large language models.

INSTINCT

This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers

sto-bnts

Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.

HNAS

Codes for Unifying and Boosting Gradient-based Training-Free Neural Architecture Search

brax_eval

init-robust-al