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Search results for deep learning denoising autoencoders

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10 search results found

Repo 2017 ⭐ 1,146

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Mad Twinnet ⭐ 101

The code for the MaD TwinNet. Demo page:

Unsuperviseddeeplearning Pytorch ⭐ 63

This repository tries to provide unsupervised deep learning models with Pytorch

Anomaly Event Detection ⭐ 36

Work in progress and needs a lot of changes for now. An implementation of 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 classifier this is work under progress.

Pre Training Via Denoising ⭐ 29

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

Deep Learning Models ⭐ 16

Deep Learning Models implemented in python.

Quickselection ⭐ 15

[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

Mlsp2017_svsep_skipfilt ⭐ 14

Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"

Deep_image_prior ⭐ 13

Image Operations without training using deep image prior

Machinelearning_nilm ⭐ 10

Undergraduate research by Yuzhe Lim @ Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

Speechrecognition ⭐ 10

Small-footprint Keyword Spotting

Neuralnetworkslite ⭐ 10

Learn Neural Networks using Java

Autoencoder Implementations ⭐ 6

This repository contains various Autoencoders implemented using TensorFlow

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