Stars
presentation on [CapsuleGAN: Generative Adversarial Capsule Network](https://arxiv.org/pdf/1802.06167.pdf) for [Deep Learning Seminar](https://ufal.mff.cuni.cz/courses/npfl117)
Conditional Wasserstein Generative Adversarial Network for image-to-image translation.
A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys
CGAN ProjectionCGAN ACGAN InfoGAN Pytorch
A simple approach to observe the detectability and SNR improvement by adding noise in signal is presented in the form of a python code.
The sample code to study non-negative matrix and tensor factorization.
Submanifold sparse convolutional networks
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
wNMF: Weighted Non-Negative Matrix Factorization
Python Distributed Non Negative Matrix Factorization with custom clustering
A pytorch package for non-negative matrix factorization.
Collection of EM algorithms for blind source separation of audio signals
A Python toolbox for Fast Image Signal Separation Analysis, designed for Calcium Imaging data.
Official implementation of Deep Convolutional Dictionary Learning for Image Denoising.
An official codebase of paper "Revisiting Sparse Convolutional Model for Visual Recognition"
Natural Language Processing Tutorial for Deep Learning Researchers
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
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