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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

bet2

standalone Brain Extraction Tool (bet2), released by

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

diffusevae

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

imm_tensorflow

Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)

iwo

Beyond Disentanglement: On the Orthogonality of Learned Representations

keypoint_communities

[ICCV '21] In this repository you find the code to our paper "Keypoint Communities".

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

models

Models and examples built with TensorFlow

niftynet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

test

timm

Life-long learning approach to Medical image segmentation

vnet-tensorflow

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.