axruff

DeepLearning

A collection of research papers, datasets and software on Deep Learning

cuda-flow2d

2D Optical flow using NVIDIA CUDA

TransferLearning

A collection of papers, datasets and software on Transfer Learning and Domain Adaptation

autocorr

2D Auto-correlation flow using NVIDIA CUDA

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

batteries

biomedisa

The Biomedical Image Segmentation App (https://biomedisa.org) is an open-source online platform for segmentation of 3D images, e.g. CT and MRI scans, @UniHeidelberg @HITStudies.

brains

All about studies of brains

cork

correlation

css3-github-buttons

Helps you easily create GitHub-style buttons and toolbars using links, buttons, and inputs.

Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

drishti

Drishti

EmbedSeg

Code Implementation for the preprint "Embedding-based Instance Segmentation for Microscopy Images"

lucid

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

Medaka

n2v

This is the implementation of Noise2Void training.

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nnUNet

PWC-Net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-pwc

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

SpatialEmbeddings

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

tiny-dnn

header only, dependency-free deep learning framework in C++14

visuals

voxelmorph

Unsupervised Learning for Image Registration

workflows

xenopus

youtube-dl

A fork of youtube-dl, for archival purposes.