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3ddwt-svm-gc

This is an implementation code of paper "Integration of 3-Dimensional Discrete Wavelet Transform and Markov Random Field for Hyperspectral Image Classification"

ac-gan

A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).

advanced-machine-learning-with-python

Code repository for Advanced Machine Learning with Python, published by Packt

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial_autoencoders

adversarialnetspapers

The classical papers and codes about generative adversarial nets

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

bayespy

Bayesian Python: Bayesian inference tools for Python

c3d

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

classtrans

cnn-al-mrf

This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".

cnn-mrf-v1

This is a modified version of the code for Hyperspectral image classification using CNN (Post-processing code is written in python).

cnn_hsic_mrf

This is a TensorFlow implementation of Convolutional Neural Network for Hyperspectral Image Classification

commdetnmf

Code for paper: Overlapping Community Detection via Nonnegative Matrix Factorization

coursera-neural-net

Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.

crs-diff

decorrelated-adversarial-autoencoder

Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)

deep-active-learning

Deep Active Learning

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-residual-networks

Deep Residual Learning for Image Recognition

deepbayes-2018

Seminars DeepBayes Summer School 2018

deeplearn_hsi

Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

deeplearningbook

MIT Deep Learning Book in PDF format

deepwalk

DeepWalk - Deep Learning for Graphs

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dpfa_icml2015

The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"

earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

feature-extraction

Computer vision feature extraction toolbox for image classification