Master Deep Learning Algorithms with Extensive Math by Implementing them...
Learning deep representations by mutual information estimation and maxim...
MotionSense Dataset for Human Activity and Attribute Recognition ( time-...
Generative Adversarial Networks and Autoencoders for 3D Shapes
PyTorch implementation of DEC (Deep Embedding Clustering)
A curated list of dedicated resources and applications
Tensorflow implementation of Adversarial Autoencoders
Deep Learning sample programs using PyTorch in C++
KitNET is a lightweight online anomaly detection algorithm, which uses a...
Using data analytics of popular trading strategies and indicators, to id...
Image reconstruction done with untrained neural networks.
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Ma...
Implementation of the stacked denoising autoencoder in Tensorflow
Visualization techniques for the latent space of a convolutional autoenc...