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

Tensorflow implementation of variational auto-encoder for MNIST

Implementation of the stacked denoising autoencoder in Tensorflow

Tensorflow implementation of conditional variational auto-encoder for MNIST

The code for the MaD TwinNet. Demo page:

Official implementation of pre-training via denoising for TorchMD-NET

This repository tries to provide unsupervised deep learning models with Pytorch

Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

Auto Encoders in PyTorch

Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)

Paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single c

A demo shows how to combine Langevin dynamics with score matching for generative models.

kaggleのporto-seguro-safe-driver-prediction, michaelのsolver

[TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

An implementation of Denoising Variational AutoEncoder with Topological loss

DDAE speech enhancement on spectrogram domain using Keras

Unsupervised Representation Learning for Singing Voice Separation

Small-footprint Keyword Spotting

Sequence-to-Sequence Generative Model for Sequential Recommender System