Stars
⏰ Modern datetime library for Python, available in Rust or pure Python
Machine Learning Engineering Open Book
A vim plugin to give you some slime. (Emacs)
scikit-learn: machine learning in Python
Make awesome display tables using Python.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Turns Data and AI algorithms into production-ready web applications in no time.
LLM Proxy to call 100+ LLM APIs using the OpenAI format - Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq
Seamlessly integrate LLMs as Python functions
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
Distributed DataFrame for Python designed for the cloud, powered by Rust
Notebooks and various random fun
The release of the Twitter algorithm, annotated for recsys
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
AI code-writing assistant that understands data content
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Examples and guides for using the OpenAI API
Code and documentation to train Stanford's Alpaca models, and generate the data.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
A system for quickly generating training data with weak supervision