Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

A stable algorithm for GAN training

Spectral Normalization for Keras Dense and Convolution Layers

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Periodic Spatial Generative Adversarial Networks

Protein function prediction using a variational autoencoder

Novel molecules from a reference shape!

Deep Markov Models

This repository contains the source code for the paper First Order Motion Model for Image Animation

Some example scripts on pytorch

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

Jupyter notebooks on time series econometrics topics.

CNN archictecture for face anti-spoofing

Content, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

Kaggle problem solving

Repository for storing and tracking my self-study progress.