A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

🐹 Clean, uninstall, analyze, optimize, and monitor your Mac from the terminal.

Multiturn Meta-Bandit LLM RL Training

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

🤖 A framework for experimenting with LLMs in bandit scenarios with customizable agents.

Enhances Overleaf by allowing article searches and BibTeX retrieval from DBLP and Google Scholar | 通过允许从 DBLP 和 Google Scholar 进行文章搜索和获取 BibTeX 来增强 Overleaf。

Official repository for the EMNLP 2024 paper "CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling"

A framework for few-shot evaluation of language models.

AndroidWorld is an environment and benchmark for autonomous agents

Implementation of Nougat Neural Optical Understanding for Academic Documents

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

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

High accuracy RAG for answering questions from scientific documents with citations

Code for Paper: Autonomous Evaluation and Refinement of Digital Agents [COLM 2024]

Can Language Models Solve Olympiad Programming?

LLaMA: Open and Efficient Foundation Language Models

Official release of the ProGen models

Open CS Application | 开源CS申请

A more relaxed `pip freeze`

Completely local print support for VS Code with syntax-colouring and line numbering

Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

A toolkit for developing and comparing reinforcement learning algorithms.