ml

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Curated list: Resources for machine learning in Ruby

nannyml: post-deployment data science in python

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Build LLM-powered applications in Ruby

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

Gaussian processes in TensorFlow

An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Local-first Video Knowledge Base. Index your video library with multi-modal analysis (YOLO, DeepFace, Whisper), search semantically via natural language, Docker-ready.

ApacheCN 开源组织：公告、介绍、成员、活动、交流方式

Open-source CUDA, Triton and HIP compiler targeting multiple GPU and CPU architectures.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

A huge list of great stuff you can get for free!

:closed_book: Clarity in the current fast-paced mess of Open Source innovation

playwright for windows computer use

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Unified multimodal backend for AI data apps

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Chat language model that can use tools and interpret the results

Convert any music library into a music production sample-library with ML

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG

fklearn: Functional Machine Learning

Multi-class confusion matrix library in Python

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

Machine learning powered Karaoke app (with scores!)