autoencoder

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

[CVPR2020] Adversarial Latent Autoencoders

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Use unsupervised and supervised learning to predict stocks

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Next RecSys Library

Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Tensorflow implementation of variational auto-encoder for MNIST

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Library of autoencoders for sequential data

Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.

Autoencoder for Point Clouds

A Variational Autoencoder (VAE) implemented in PyTorch

PyTorch implementation of DEC (Deep Embedding Clustering)