🦜🔗 Build context-aware reasoning applications

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

Python Data Science Handbook: full text in Jupyter Notebooks

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

12 Weeks, 24 Lessons, AI for All!

A programming framework for agentic AI 🤖

10 Weeks, 20 Lessons, Data Science for All!

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Free Data Engineering course!

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

Automatic extraction of relevant features from time series:

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Python training for business analysts and traders

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Technical Analysis Library using Pandas and Numpy

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

Tutorials for creating and using ONNX models

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Code repository for O'Reilly book