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

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

12 Weeks, 24 Lessons, AI for All!

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.

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 ;)

This is a repo with links to everything you'd ever want to learn about data engineering

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

Python programs, usually short, of considerable difficulty, to perfect particular skills.

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 th…

Your new Mentor for Data Science E-Learning.

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

QLoRA: Efficient Finetuning of Quantized LLMs

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

CoreNet: A library for training deep neural networks

Recipes for using Python's pandas library

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.

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Materials for the Hugging Face Diffusion Models Course

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

A Deep Learning based project for creating line art portraits.

Automatic Generation of Visualizations and Infographics using Large Language Models

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

Gallery of OSMnx tutorials, usage examples, and feature demonstations.

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Reliable LLM Memory for AI Applications and AI Agents