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The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace.

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

OpenScience is an open-source workbench for scientific research. Work through literature, data, code, experiments, and writing in the desktop app, browser workspace, or terminal.

> Prefer to Clone Locally? > > This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout: > > Bash / macOS / Linux: >

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀

67 specialized skills across 12 categories covering languages, backend/frontend frameworks, infrastructure, APIs, testing, DevOps, security, data/ML, and platform specialists.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API.

Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML.

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.

Netron is a viewer for neural network, deep learning and machine learning models.

Dask is a flexible parallel computing library for analytics. See documentation for more information.

Metaflow is a human-centric framework designed to help scientists and engineers build and manage real-life AI and ML systems.

> Notice: Bark is Suno's open-source text-to-speech+ model. If you are looking for our text-to-music models, please visit us on our web page and join our community on Discord.

This project is for the first edition, which is now outdated (it came out in 2017).

Kubeflow is the foundation of tools for AI Platforms on Kubernetes.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is dmls-book

100-Days-Of-ML-Code中文版

An AR+ML prototype that allows cutting elements from your surroundings and pasting them in an image editing software.

A curated list of references for MLOps

Low-code framework for building custom LLMs, neural networks, and other AI models

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

This project can be run inside a python virtualenv. We have only tried this on Linux machines and because we use torchrec it works best with an Nvidia GPU. To setup run