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

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

An easy tutorial for learning how to build and serve a LangGraph agent with React

Full Stack application for retrieving Stock Data and News using LLM, LangChain and LangGraph

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

FlashMLA: Efficient MLA decoding kernels

DeepEP: an efficient expert-parallel communication library

DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.

Pretraining code for a large-scale depth-recurrent language model

A curated list of awesome Kubernetes tools and resources.

high-performance graph database for real-time use cases

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

Postgres for Search and Analytics

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

AI-native (edge and LLM) proxy for agents. Move faster by letting Arch handle the pesky heavy lifting in building agentic apps -- ⚡️ query understanding and routing, seamless integration of prompts…

Dolt – Git for Data

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform…

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

An Open Large Reasoning Model for Real-World Solutions

Medical o1, Towards medical complex reasoning with LLMs

The LLM Evaluation Framework

A utility for connecting securely to your Cloud SQL instances

Adding guardrails to large language models.