Open source implementations of rating systems

Minimalist ML framework for Rust

Official repo for "SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing"

A lightweight, object-oriented finite state machine implementation in Python with many extensions

Line-by-line profiling for Python

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

SGLang is a high-performance serving framework for large language models and multimodal models.

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

The ParroT framework to enhance and regulate the Translation Abilities during Chat based on open-sourced LLMs (e.g., LLaMA-7b, Bloomz-7b1-mt) and human written translation and evaluation data.

FAIR Sequence Modeling Toolkit 2

[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

Large Scale Visual ObjecT DIscovery Through Text attention using StAble DiffusioN

[ICCV 2023] Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Adds numbered shortcuts to the output git status, and much more

Development repository for the Triton language and compiler

Awesome-LLM: a curated list of Large Language Model

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

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Code and documentation to train Stanford's Alpaca models, and generate the data.

BotSIM - a data-efficient end-to-end Bot SIMulation toolkit for evaluation, diagnosis, and improvement of commercial chatbots

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

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.