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Starred repositories
Metadata extraction and validation in scientific papers
🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton
An extremely fast Python linter and code formatter, written in Rust.
DuckDB is an analytical in-process SQL database management system
A lightweight data processing framework built on DuckDB and 3FS.
Lightweight coding agent that runs in your terminal
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser & Trae AI (And other Open Sourced) System Prompts, Tools & AI Models.
👨💻 An awesome and curated list of best code-LLM for research.
An open protocol enabling communication and interoperability between opaque agentic applications.
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Fully open reproduction of DeepSeek-R1
Everything about the SmolLM2 and SmolVLM family of models
🪄 Create rich visualizations with AI
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Real-time updated, fine-grained reading list on LLM-synthetic-data.🔥
An educational resource to help anyone learn deep reinforcement learning.
《动手学大模型Dive into LLMs》系列编程实践教程
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
A collection of AWESOME things about mixture-of-experts
Tool for converting LLMs from uni-directional to bi-directional by removing causal mask for tasks like classification and sentence embeddings. Compatible with 🤗 transformers.
Efficient LLM inference on Slurm clusters using vLLM.
[Survey] Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Official Repository of "LLM × DATA" Survey Paper
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Align Anything: Training All-modality Model with Feedback
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.