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A server that integrates Linear's project management system with the Model Context Protocol (MCP) to allow LLMs to interact with Linear.
A Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches. Local alternative to SERP APIs with MCP server integration.
A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
A middleware to provide an openAI compatible endpoint that can call MCP tools
Query and Summarize your chat messages.
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.
Model Context Protocol Servers
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your ML and analytics workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
aider is AI pair programming in your terminal
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A course on aligning smol models.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
verl: Volcano Engine Reinforcement Learning for LLMs
Fully open reproduction of DeepSeek-R1
🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton
A fast and lightweight fully featured OCI runtime and C library for running containers