activation-visualization-histogram

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

adagan

boosting approach enabling GAN iterations

alexnet-tensorflow-tensorboard

Implementation of AlexNet (CNN designed by Alex Krizhevsky) in Tensorflow+Tensorboard

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

changedetectionrepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

character-level-language-model

Build a character level language model to generate new dinosaur names

compare_gan

Compare GAN code.

condensenet-tensorflow

tensorflow implementation of CondenseNet: An Efficient DenseNet using Learned Group Convolutions

cost-sensitive-boosting-tutorial

Tutorial on cost-sensitive boosting and calibrated AdaMEC.

costsensitive

Python Cost-Sensitive Multiclass Classification, incl. Weighted-All-Pairs, Filter-Tree & others

dagan

DAGAN: Data Augmentation Generative Adversarial Networks

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-nlp

:satellite: Organized Resources for Deep Learning in Natural Language Processing

deeplearningexamples

Deep Learning Examples

diabetic_heroku

dtn

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

focal-loss-implement-on-tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

frrn

Full Resolution Residual Networks for Semantic Image Segmentation

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

ila-scnn

Computation using data flow graphs for scalable machine learning

image-segmentation-loss-functions

some loss functions of image segmentation

karuna-kumari-eerapu

karunaeerapu

just another repository

keras-applications

Reference implementations of popular deep learning models.

learnbay

this is just for testing purpose

lectures

Oxford Deep NLP 2017 course

machinelearningsklearn

mask_rcnn

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