denoising-autoencoders
There are 126 repositories under denoising-autoencoders topic.
RubensZimbres/Repo-2017
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
hwalsuklee/tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
wblgers/tensorflow_stacked_denoising_autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
hwalsuklee/tensorflow-mnist-CVAE
Tensorflow implementation of conditional variational auto-encoder for MNIST
dr-costas/mad-twinnet
The code for the MaD TwinNet. Demo page:
eelxpeng/UnsupervisedDeepLearning-Pytorch
This repository tries to provide unsupervised deep learning models with Pytorch
shehzaidi/pre-training-via-denoising
Official implementation of pre-training via denoising for TorchMD-NET
LahiruJayasinghe/DeepDOA
Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.
ReyhaneAskari/pytorch_experiments
Auto Encoders in PyTorch
greenelab/adage
Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
AlexPasqua/Autoencoders
Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
nabulago/anomaly-event-detection
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
abhisheksambyal/Autoencoders-using-Pytorch-Medical-Imaging
Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
nsarang/ImageDenoisingAutoencdoer
Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras
GINK03/kaggle-dae
kaggleのporto-seguro-safe-driver-prediction, michaelのsolver
enhuiz/langevin-dynamics-and-score-matching
A demo shows how to combine Langevin dynamics with score matching for generative models.
louisyuzhe/MachineLearning_NILM
Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation
yuki3-18/Topological-DVAE
An implementation of Denoising Variational AutoEncoder with Topological loss
jerrygood0703/DDAE
DDAE speech enhancement on spectrogram domain using Keras
Js-Mim/rl_singing_voice
Unsupervised Representation Learning for Singing Voice Separation
SamuelXJames/Signal-Denoising-Autoencoder
A Deep Denoising Autoencoder for Time Dependent Signals
saravanabalagi/deep_image_prior
Image Operations without training using deep image prior
Tikquuss/meta_XLM
Cross-lingual Language Model (XLM) pretraining and Model-Agnostic Meta-Learning (MAML) for fast adaptation of deep networks
inboxpraveen/Autoencoders-and-decoders-using-keras-and-tensorflow
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
Mmiglio/SpeechRecognition
Small-footprint Keyword Spotting
fajieyuan/WWW2020-grec
Sequence-to-Sequence Generative Model for Sequential Recommender System
senior-sigan/denoise-autoencoder
Denoise audio with convolutional autoencoder
VPanjeta/Deep-Learning-Models
Deep Learning Models implemented in python.
zahraatashgahi/QuickSelection
[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
atomicarchitects/DeNS
[ArXiv 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
Js-Mim/mlsp2017_svsep_skipfilt
Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"
26hzhang/NeuralNetworksLite
Learn Neural Networks using Java
BiometricVox/DAE_SpeakerID
Denoising autoencoders for speaker identification on MCE 2018 challenge
liweitianux/cdae-eor
EoR Signal Separation with a Convolutional Denoising Autoencoder (CDAE)
piyush2896/Autoencoder-Implementations
This repository contains various Autoencoders implemented using TensorFlow
sathvikyesprabhu/speech-enhancement-CNN
Denoising autoencoders based on DNN and CNN topologies for speech enhancement