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.

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

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…

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Probabilistic reasoning and statistical analysis in TensorFlow

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

A small package to create visualizations of PyTorch execution graphs

Bayesian optimization in PyTorch

More than a hundred strange attractors

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Segment Anything for Microscopy

Provides everything needed for high performance data loading and augmentation in pytorch.

RadIO is a library for data science research of computed tomography imaging

Hierarchical Uniform Manifold Approximation and Projection

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)

Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation

Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series

[ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

Tools for distributed alignment of massive images

Python module for generating Bland-Altman plots

Image analysis approaches to analyze the OAI magnetic resonance images