2D Auto-correlation flow using NVIDIA CUDA
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
All about studies of brains
Helps you easily create GitHub-style buttons and toolbars using links, buttons, and inputs.
Code Implementation for the preprint "Embedding-based Instance Segmentation for Microscopy Images"
A collection of infrastructure and tools for research in neural network interpretability.
This is the implementation of Noise2Void training.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
3D U-Net model for volumetric semantic segmentation written in pytorch
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
Jupyter notebooks for learning how to use SimpleITK
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
header only, dependency-free deep learning framework in C++14
Unsupervised Learning for Image Registration
A fork of youtube-dl, for archival purposes.