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2019-rss

Automated shapeshifting for function recovery in damaged robots.

3ddescriptornet

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

3dunetcnn

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

albumentations

fast image augmentation library and easy to use wrapper around other libraries

awesome-cs-books-warehouse

:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档

axondeepseg

Axon/Myelin segmentation using Deep Learning

axonsegpy

Segment axon and myelin from microscopy data. Written in Python.

bellwoods

brainhack-boston.github.io

Brainhack Boston

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe

Caffe: a fast open framework for deep learning.

camera-controls

A camera control for three.js, similar to THREE.OrbitControls yet supports smooth transitions and more features.

cellprofiler

An open-source application for biological image analysis

cfnet

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

classification_models

Classification models trained on ImageNet. Keras.

cnn-stimuli

collectiveintelligence-book

Some code and tests I wrote while working through Toby Segaran's book

convlstm

Convolutional LSTM for video segmentation with Keras

convlstm-moving-mnist

Using convlstm to prediction moving mnist dataset.

corrflow

Self-supervised Learning for Video Correspondence Flow (BMVC Oral)

crnn

Consistent Recurrent Neural Networks

cs-229

Assignment Solutions to Coursera CS-229 Machine Learning by Stanford

cs131_release

Released assignments for the fall 2017 iteration of CS131.

cscie32week1

cvbook

Notes for Jan Erik Solem's "Programming Computer Vision with Python" book

d3.forcebundle

Force Directed Edge Bundling (FDEB) in Javascript; d3.js ready. (https://www.win.tue.nl/vis1/home/dholten/papers/forcebundles_eurovis.pdf)

ddd-2018

deep-active-learning

Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)

deep-embedded-validation

Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!