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adversarialnetspapers

The classical paper list with code about generative adversarial nets

clustering_vae

Code implementation for "Improved Clustering Performance using Latent Data Representation from Variational Autoencoder" by Agarap & Azcarraga (2019)

deep-learning-based-ecg-annotator

Annotation of ECG signals using deep learning.

deeplearningimplementations

Implementation of recent Deep Learning papers

dlaicourse

Notebooks for learning deep learning

document_cluster

A guide to document clustering in Python

emojify

an implementation of emojify

emojify-1

Given an input sentence the model adds the appropriate emoji.

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fair-pca

Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"

gan

Generate images via a Generative Adversarial Network (GAN)

generative-models

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

idealwine-wine-prices

API to retrieve quotes from daily wine auctions

keras

Deep Learning for humans

keras-tcn

Keras Temporal Convolutional Network.

ml_newsanalytics

ML

ml_tinder

Machine Learning (Deep Learning) - Tinderbot

muse

A library for Multilingual Unsupervised or Supervised word Embeddings

n-beats

Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

pix2pix-keras

Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras

porgramming-assigment-2

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

py_crepe

Keras implementation of the Crepe character-level convolutional neural net.

ransac-java

Implementation of the Ransac algorithm written in Java

rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

sudoku

CNN for Sudoku

tinder-machine-learning

Machine learning for Tinder swipes in JS

vae-cnn-mnist

Convolutional variational autoencoder applied to (E)MNIST + an interactive demo to explore the latent space.

vae-for-image-generation

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets