Stars
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
The official Python SDK for Model Context Protocol servers and clients
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
Inspect: A framework for large language model evaluations
⚡ A Fast, Extensible Progress Bar for Python and CLI
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
Unofficial Fastapi implementation of Stable-Diffusion API
Nick's Docker-based version of Stable Diffusion
Stable Diffusion web UI
the AI-native open-source embedding database
Data validation using Python type hints
AI PDF chatbot agent built with LangChain & LangGraph
Use AI to personify books, so that you can talk to them 🙊
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Python Data Science Handbook: full text in Jupyter Notebooks
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
🦜🔗 Build context-aware reasoning applications
Advanced .bashrc and .bash_profile coming together with colorful output.
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Statistical analysis and visualization of state transition phenomena