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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A collection of pre-trained, state-of-the-art models in the ONNX format
An Interactive Introduction to Fourier Transforms
Feature selector is a tool for dimensionality reduction of machine learning datasets
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
A comprehensive guide to building RAG-based LLM applications for production.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Samples using the Agent2Agent (A2A) Protocol
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Support PyTorch model conversion with LiteRT.
