Your new Mentor for Data Science E-Learning.

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

Code samples for my book "Neural Networks and Deep Learning"

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

An MXNet implementation of Mask R-CNN

FastER RCNN built on tensorflow

Torch implementation of DeepMask and SharpMask

A PyTorch implementation of CapsNet based on Geoffrey Hinton's paper "Dynamic Routing Between Capsules"

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

Deep Residual Learning for Image Recognition

Visualizer for Deep Neural Networks

Mask RCNN in TensorFlow

Deep Contour-Aware Networks in Tensorflow

Source code for the LabelMe annotation tool.

Dilated Convolution for Semantic Image Segmentation

pytorch tutorial for beginners

Class Activation Mapping

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Build your neural network easy and fast

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

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

Fully Convolutional Instance-aware Semantic Segmentation

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

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

Simple examples to introduce PyTorch

Instance-aware Semantic Segmentation via Multi-task Network Cascades

R-FCN: Object Detection via Region-based Fully Convolutional Networks