Explore projects

https://github.com/Lightning-AI/utilities Common Python utilities and GitHub Actions in Lightning Ecosystem

Multi-node production AI stack. Run the best of open source AI easily on your own servers. Create your own AI by fine-tuning open source models

https://github.com/ComposioHQ/composio Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

https://github.com/Lightning-AI/pytorch-lightning 🔗 lightning.ai Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

🔧🔗https://github.com/huggingface/lerobot

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

🔧🔗https://github.com/raspberrypi/rpi-sb-provisioner

A minimal-input automatic secure boot provisioning system for Raspberry Pi devices.

https://github.com/Lightning-AI/tutorials Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks. 🔗 https://lightning-ai.github.io/tutorials

🔧🔗https://github.com/modelcontextprotocol/python-sdk

The official Python SDK for Model Context Protocol servers and clients

🔧🔗https://github.com/modelcontextprotocol/create-python-server Create a Python MCP server

🔧🔗https://github.com/modelcontextprotocol/quickstart-resources A repository of servers and clients from the Model Context Protocol tutorials

https://github.com/topoteretes/cognee Deterministic LLMs Outputs for AI Applications and AI Agents

🔧🔗https://github.com/astramind-ai/Auralis

A Fast TTS Engine

🔧🔗https://github.com/Haidra-Org/hordelib

A wrapper around ComfyUI to allow use by the AI Horde.

🔧🔗https://github.com/modelscope/modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

🔧🔗https://github.com/modelscope/evalscope A streamlined and customizable framework for efficient large model evaluation and performance benchmarking

https://github.com/n8n-io/n8n-docs Documentation for n8n, a fair-code licensed automation tool with a free community edition and powerful enterprise options. Build AI functionality into your workflows.

https://github.com/Upsonic/gpt-computer-assistant Intelligence development framework in python for your product like Apple Intelligence