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3d-unet

Chainer implementations of 3D UNet

3dfasterrcnn_lungnoduledetector

3dunetcnn

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

action-detection

temporal action detection with SSN

adabatch

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

algorithms-sedgewick-python

Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python

an-askreddit-list-of-compsci-books

books and resources loved by r/learnprogramming community, compiled by me, a lurker who kept track

arthritis-net

Automated bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks

assigment3

attend-and-compare

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

beginningpythonexercises

Solutions to the books exercises

bitcoin

Bitcoin Core integration/staging tree

blogposts

Code collection for published blog posts

book

books

boundary-iou-api

Boundary IoU API (Beta version)

cam

Class Activation Mapping

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

cbnet

Composite Backbone Network

cbnetv2

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

cifar-10-cnn

Play deep learning with CIFAR datasets

cnn-visualization

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

collaborative-filtering-python

implementation of Collabrative Filtering way of recommendation engine

collaborative_filtering

collaborative filtering

contrib-pydicom

contributions to the core pydicom base, including tutorials, extra plugins, etc.