21 Lessons, Get Started Building with Generative AI

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

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

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.

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

StableLM: Stability AI Language Models

This repository contains the source code for the paper First Order Motion Model for Image Animation

CoreNet: A library for training deep neural networks

Reference models and tools for Cloud TPUs.

A collection of infrastructure and tools for research in neural network interpretability.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A python library for decision tree visualization and model interpretation.

We are building an open database of COVID-19 cases with chest X-ray or CT images.

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

Data and methodology for the Big Mac index

Various ipython notebooks

Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

From nothing to a deployed object detection model on SageMaker with Detectron2

CleanOut is an app built to help communities clean their neighborhood by letting users report trash by uploading (geotagged) image locations.