Training code for the MICCAI 2023 paper "DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration"

Training PyTorch models with differential privacy

Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

A terraform module to productionalize MLflow on top of AWS (Fargate + Aurora Serverless + S3)

lakeFS - Data version control for your data lake | Git for data

Start a server from the MLX library.

Dataset of head and neck CT scans and segmentations in NRRD format.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Stochastic Weight Averaging in PyTorch

This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".

Release for Improved Denoising Diffusion Probabilistic Models

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

Read and write TIFF files.

🦉 Data Versioning and ML Experiments

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

A command line utility to show who is using which GPU and what they are doing - similar to w.

Pytorch implementation of a StyleGAN encoder. Images to latent space representation.

Latent space autoregression for novelty detection.

Basic Gaussian process regression library. (Eigen3 required)

Image registration laboratory for 2D and 3D image data

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!

Gaussian Processes in C++

Fast and flexible Gaussian Process regression in Python

Framework for building Statistical Image And Shape Models