ml

An Open Source Machine Learning Framework for Everyone

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Visualizer for neural network, deep learning and machine learning models

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.

🏆 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.

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

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Simple and Distributed Machine Learning

modular quant framework.

📙 Awesome Data Catalogs and Observability Platforms.