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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…
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…
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
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.
Hierarchical Uniform Manifold Approximation and Projection
RadIO is a library for data science research of computed tomography imaging
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation
[ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image
Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
Tools for distributed alignment of massive images
Python module for generating Bland-Altman plots
Image analysis approaches to analyze the OAI magnetic resonance images
Training and Tuning Strategies for Foundation Models in Medical Imaging