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3d-machine-learning

A resource repository for 3D machine learning

3d_cascaded_seg

a cascaded framework for 3D mesh segmentation

3d_deeplearning

3dmmasstn

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

abnormal_event_detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

adversarialnetspapers

The classical papers and codes about generative adversarial nets

ai

bash script to install Artifical Images materials

alignet

code to train a neural network to align pairs of shapes without needing ground truth warps for supervision

allanlab

Allan Lab website

alternative-matting-laplacian

arl

lists of most popular repositories for most favoured programming languages (according to StackOverflow)

attempts

Research (unsuccessful) attempts

automatic-image-colorization

Automatic image colorization with a deep convolutional neural network

autonn

A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation

awesome-colorization

A curated list of colorization resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-pytorch-list

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

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

bmtt-pets-2017-surveillance-challenge

This repository is based on paper "Abnormal Event Detection on BMTT-PETS 2017 Surveillance Challenge"

bolimath.github.io

book

Deep Learning 101 with PaddlePaddle

breast-cancer-detection-using-cnn-on-ultrasound-images

This Project is a 7 Layer CNN Model consisting of 3 Convolution layers each followed by a Max Pooling Layer and Fully Connected layer on Breast Ultrasound Images to classify them as Benign, Malignant and Normal stages.

caffe

Caffe: a fast open framework for deep learning.

ccnoise

The source code of "A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising, CVPR16"

cgtools

Various functions I found useful for prototyping computer graphics code in Python

cips

cnn-in-welding

Detecting Faults and Measuring Severity in Welding using Radiographic Images

cnn_gmm_clustering

Deep Clustering using CNNs and Gaussian Mixture Models

cnnmrf

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"