WinDivert: Windows Packet Divert

Models and examples built with TensorFlow

Python Implementation of the LDDMM algorithm

Neural networks toolbox focused on medical image analysis

A modular framework for neural networks with Euclidean symmetry

Spherical CNNs

Deep Translation and Rotation Equivariance

Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Dilated Residual Networks

disentanglement_lib is an open-source library for research on learning disentangled representations.

[IEEE TMI Best Paper Award] Official Implementation for UNet++

Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Beautiful and accessible math in all browsers

Apache Spark - A unified analytics engine for large-scale data processing

Latex Font Wordpress Template

A project written in Python to perform a sentiment analysis of the user comments made on nytimes.com using the Stanford CoreNLP.

A technical report on convolution arithmetic in the context of deep learning

Deep Network Fusion (deepNF)

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

OpenMMLab Detection Toolbox and Benchmark

Unsupervised Learning for Image Registration

Image-to-Image Translation in PyTorch

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

WIDER FACE annotations converted to the Pascal VOC XML format

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.