Panda3D optical flow

Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"

Fast, accurate and easy to run dense optical flow with python wrapper

PyTorch implementation of Mahendran & Vedaldi, 2015: "Understanding Deep Image Representations by Inverting Them"

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

Tensorflow Faster RCNN for Object Detection

A torch implementation of http://arxiv.org/abs/1511.06434

MatConvNet: CNNs for MATLAB

Ensemble of Exemplar-SVMs for Object Detection and Beyond

Caffe: a fast open framework for deep learning.