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

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.

Open standard for machine learning interoperability

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

Build, Manage and Deploy AI/ML Systems

Largest list of models for Core ML (for iOS 11+)

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

The Open Source Feature Store for AI/ML

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

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Superduper: End-to-end framework for building custom AI applications and agents.

😎 A curated list of awesome MLOps tools

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

modular quant framework.

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 models from research to production.

Snips Python library to extract meaning from text

A library for transfer learning by reusing parts of TensorFlow models.

✨ Build a machine learning model from a prompt

💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram