#

stacked-autoencoder

Here are 22 public repositories matching this topic...

wblgers / tensorflow_stacked_denoising_autoencoder

Implementation of the stacked denoising autoencoder in Tensorflow

tensorflow autoencoder denoising-autoencoders sparse-autoencoder stacked-autoencoder

Updated Aug 21, 2018
Python

zhuofupan / Tensorflow-Deep-Neural-Networks

用Tensorflow实现的深度神经网络。

tensorflow convolutional-neural-network tsne deep-belief-network long-short-term-memory recurrent-neural-network stacked-autoencoder stacked-sparse-autoencoder stacked-denoising-autoencoders

Updated Aug 15, 2022
Python

timothyyu / wsae-lstm

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

machine-learning deep-learning time-series financial lstm stock-price-prediction autoencoders deep-learning-framework wavelet-transform stacked-autoencoder wsae-lstm

Updated Dec 8, 2022
Jupyter Notebook

SpringerNLP / Chapter11

Chapter 11: Transfer Learning/Domain Adaptation

nlp sentiment-analysis word-embeddings keras cnn transfer-learning maximum-mean-discrepancy coral domain-adaptation glove-embeddings central-moment-discrepancy stacked-autoencoder stacked-denoising-autoencoders adversarial-training

Updated Jul 23, 2019
Jupyter Notebook

dksifoua / Stock-Market-Prediction

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

python deep-neural-networks random-forest generative-adversarial-network logistic-regression convolutional-neural-networks decision-trees support-vector-machines gaussian-processes bayesian-optimization technical-indicators dimension-reduction stacking gradient-boosting computational-finance stock-market-prediction high-frequency-trading stacked-autoencoder reccurent-neural-network

Updated Sep 6, 2024
Jupyter Notebook

devalindey / Recommender-System-with-SAE-using-Pytorch

Recommender System Model using Stacked Autoencoder

recommender-system stacked-autoencoder

Updated Dec 11, 2019
Jupyter Notebook

arunarn2 / AutoEncoder

Stacked Denoising and Variational Autoencoder implementation for MNIST dataset

autoencoder denoising-autoencoders variational-autoencoder autoencoder-mnist stacked-autoencoder

Updated Sep 26, 2018
Python

adnanhf / Lung-Sounds-Classification-SAE-SVM

Stacked Autoencoder, Support Vector Machine, Wavelet Transform

support-vector-machine wavelet-transform stacked-autoencoder lung-sound-classification

Updated Apr 19, 2020
Python

ALPHAYA-Japan / autoencoders

Collection of autoencoder models in Tensorflow

vanilla tensorflow ae autoencoder convolutional-autoencoder sparse-autoencoder stacked-autoencoder vanilla-autoencoder denoising-autoencoder regularized-autoencoder autoencoder-models

Updated Nov 30, 2019
Python

prakHr / NeuralNetworksAndFuzzyLogic

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

Updated Nov 20, 2022
Jupyter Notebook

rrasheed / CMS-Fraud-Detection

Fraud detection algorithm using Autoencoders and Stacked Autoencoders to detect fraudulent physicians in CMS Part B claims data

autoencoder autoencoders medicare fraud-detection stacked-autoencoder

Updated Dec 6, 2019
Python

amshrbo / AutoEncoders-Applications

Tackling some possible applications for AutoEncoders

feature-detection recommendation-system autoencoder dimensionality-reduction stacked-autoencoder

Updated Mar 30, 2019
Jupyter Notebook

ahujaraman / stacked_autoencoders

Demonstrated experiments with De-noising and Stacked Autoencoders on Fashion MNIST Dataset

classification denoising-autoencoders denoising fashion-mnist stacked-autoencoder autoencoders-fashionmnist

Updated Dec 21, 2018
Python

meowoodie / Unsupervised-Learning-in-Tensorflow

A repository for compiling unsupervised learning implementations in tensorflow

deep-learning tensorflow unsupervised-learning autoencoders denoising-autoencoders stacked-autoencoder

Updated Dec 17, 2018
Python

pouyaardehkhani / Recommender-System

We use stacked Autoencoders to build a powerfull recommender system for movies.

pytorch recommendation-system autoencoder recommender-system autoencoders sae stacked-autoencoder

Updated Apr 7, 2022
Python

yatharthv8 / My_Workspace

My Deep Learning and Machine Learning projects

python machine-learning deep-learning neural-networks boltzmann-machines stacked-autoencoder

Updated Jul 31, 2021
Jupyter Notebook

dixitishan811 / NNFL

This repository contains my implementations for Neural Networks and Fuzzy Logic assignments

elm svm fuzzy-logic nueral-networks stacked-autoencoder nnfl

Updated Apr 2, 2021
Jupyter Notebook

UdayKumar6410 / Training-Auto-Encoders

An autoencoder is a type of artificial neural network used for unsupervised learning of efficient data codings. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction, feature learning, or data denoising, without supervision.

deep-neural-networks deep-learning autoencoder image-classification stacked-autoencoder

Updated Mar 29, 2024
HTML

leblanchannah / DataMining873

machine-learning svm python3 stacked-autoencoder

Updated Feb 8, 2019
Jupyter Notebook

Stacked-AutoEncoder

Daniell-Dantas / Stacked-AutoEncoder

Um modelo de redes autoassociativas empilhadas para detectar faltas em transformadores de potência

machine-learning datascience electrical-engineering dga stacked-autoencoder

Updated Oct 9, 2021
MATLAB

Improve this page

Add a description, image, and links to the stacked-autoencoder topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the stacked-autoencoder topic, visit your repo's landing page and select "manage topics."