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amplifyapp

Amplify Console CI / CD Demo

authentication

automatic-image-colorization

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

bag-of-local-features-models

Pretrained bag-of-local-features neural networks

bagit

iOS app that allows Harvard Students to order bagged meals from the Harvard University Dining Services

bam

caffe-excitationbp

Implementation of Excitation Backprop in Caffe

caffe-fr-chairs

Caffe: a fast open framework for deep learning.

camera_distance_measurement

Demo for estimating the height of a stair step

cdcgan

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

chineseinflow-javascript

Practice Chinese characters

cleverhans

A library for benchmarking vulnerability to adversarial examples

coding-tricks

A compiliation of helpful development tools and shortcuts.

convert-pascal-voc-to-coco

Python script for Pascal VOC to COCO conversion

cs51-project

cub200-2011

The collection of 80*80-pixels bird-images from cub200-2011 dataset.

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

ddipopulation

deconvnet_analysis

Code for "Salient Deconvolutional Networks, Aravindh Mahendran, Andrea Vedaldi, ECCV 2016"

deep-image-prior

Image restoration with neural networks but without learning.

deep-koalarization

Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (DD2424 Deep Learning in Science course at KTH 2017)

demo_app

django_poll_tutorial

djangobook

dncnn-tensorflow

a tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

excitationbp

Visualizing how deep networks make decisions

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

family-of-rayleigh-statistics

MATLAB toolbox implementing Rayleigh, Moore-Rayleigh, and Scaled Rayleigh circular statistics as well as visualisations for circular tests.

first_app

The first app for the Ruby on Rails Tutorial