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

The fastai deep learning library

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…

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Jupyter Interactive Notebook

The "Python Machine Learning (1st edition)" book code repository and info resource

PyTorch code and models for the DINOv2 self-supervised learning method.

Code release for NeRF (Neural Radiance Fields)

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

Automatic extraction of relevant features from time series:

Reference PyTorch implementation and models for DINOv3

A unified framework for 3D content generation.

A scikit-learn compatible neural network library that wraps PyTorch

Create delightful software with Jupyter Notebooks

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

Segment Anything in Medical Images

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

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

MONAI Tutorials

Code, Notebooks and Examples from Practical Business Python

Dask tutorial

A Modular Framework for 3D Gaussian Splatting and Beyond

COVID-Net Open Source Initiative

Simple and flexible progress bar for Jupyter Notebook and console

Brushing and linking for big data

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

Jupyter notebooks for learning how to use SimpleITK

[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

NVIDIA curated collection of educational resources related to general purpose GPU programming.