Awesome Opensource Ai

21 Lessons, Get Started Building with Generative AI

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

12 Weeks, 24 Lessons, AI for All!

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Learn how to develop, deploy and iterate on production-grade ML applications.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

10 Weeks, 20 Lessons, Data Science for All!

AirLLM 70B inference with single 4GB GPU

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

A simple screen parsing tool towards pure vision based GUI agent

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

A guidance language for controlling large language models.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

FinRL®: Financial Reinforcement Learning. 🔥

LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树

This repository contains demos I made with the Transformers library by HuggingFace.

Official inference library for Mistral models

MiniCPM5: SOTA on-device LLMs, small yet powerful.

A collection of pre-trained, state-of-the-art models in the ONNX format

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Flax is a neural network library for JAX that is designed for flexibility.

Optimize prompts, code, and more with AI-powered Reflective Optimization

TensorFlow documentation

A scikit-learn compatible neural network library that wraps PyTorch

Repo for the Complete Agentic AI Engineering Course

Notebooks using the Hugging Face libraries 🤗

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

The hub for EleutherAI's work on interpretability and learning dynamics

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

Practical course about Large Language Models.