autoencoder-mnist

There are 1 repository under autoencoder-mnist topic.

ReyhaneAskari / pytorch_experiments
Auto Encoders in PyTorch
pytorch-tutorial pytorch autoencoders autoencoder-mnist variational-autoencoder denoising-autoencoders
Language:Python 63
abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging
Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
autoencoder-classification autoencoder-mnist autoencoder-pytorch autoencoder-segmentation autoencoders autoencoders-fashionmnist denoising-autoencoders sparse-autoencoders
Language:Jupyter Notebook 48
nmeripo / Reducing-the-Dimensionality-of-Data-with-Neural-Networks
Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)
restricted-boltzmann-machine autoencoder autoencoder-mnist
Language:Python 39
eugenet12 / pytorch-rbm-autoencoder
Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)
restricted-boltzmann-machine neural-network deep-learning autoencoder autoencoder-mnist
Language:Jupyter Notebook 24
Mind-the-Pineapple / adversarial-autoencoder
Tensorflow 2.0 implementation of Adversarial Autoencoders
adversarial-autoencoder adversarial-autoencoders autoencoder autoencoder-mnist autoencoders mnist
Language:Python 20
satolab12 / anomaly-detection-using-autoencoder-PyTorch
encoder-decoder based anomaly detection method
anomaly-detection python pytorch pytorch-implementation mnist autoencoder-mnist autoencoder deep-learning image-processing
Language:Jupyter Notebook 19
fdavidcl / ae-review-resources
Additional resources for an overview on autoencoders
autoencoders autoencoder-mnist mnist neural-network deep-learning
Language:Python 18
arunarn2 / AutoEncoder
Stacked Denoising and Variational Autoencoder implementation for MNIST dataset
autoencoder autoencoder-mnist variational-autoencoder denoising-autoencoders stacked-autoencoder
Language:Python 8
codeperfectplus / autoEncoders
Deep convolutional autoencoder for image denoising
deep-learning autoencoders autoencoder-mnist tensorflow2 mnist mnist-dataset denoising autoencoder keras-autoencoders
Language:PureBasic 8
captain-pool / MNIST_AutoEncoder
AutoEncoder on MNIST Digit
autoencoder-mnist tensorflow colab-notebook mnist-dataset
Language:Jupyter Notebook 6
LorenzoValente3 / Autoencoder-for-FPGA
Autoencoder model for FPGA implementation using hls4ml. Repository for Applied Electronics Project.
fpga deep-learning hls4ml autoencoder-classification autoencoder-mnist compression quantization-aware-training
Language:Jupyter Notebook 6
sarthak268 / Deep_Neural_Networks
This repository contains Pytorch files that implement Basic Neural Networks for different datasets.
neural-network deep-learning gans lenet cifar10 mnsit autoencoder autoencoder-mnist generative-adversarial-network vae variational-autoencoder generative-model machine-learning machine-learning-algorithms datasets
Language:Python 6
ariss95 / image_reconstructon_examples
image reconstruction with pytorch
deep-learning python pytorch rnn-pytorch autoencoder-mnist reccurent-neural-network autoencoders
Language:Python 5
braininahat / CVIP-CSE573
UB Computer Vision
computer-vision matlab-image-processing-toolbox image-processing scene-recognition homography panorama convolutional-neural-networks keras-tensorflow keras keras-neural-networks opencv opencv-python spatial-pyramid bag-of-words autoencoder autoencoder-mnist mnist mnist-classification mnist-dataset
Language:MATLAB 3
drishtiramesh / Image-Compression-and-Regeneration-Using-Variational-Autoencoders
vae pytorch pytorch-vae vae-pytorch mnist image-compression image-regeneration compression-regeneration autoencoder-mnist autoencoder
Language:Jupyter Notebook 3
martinetoering / Visual-Representation-Learning-Tutorials
Project materials for teaching bachelor students about fundamentals on Deep learning, PyTorch, ConvNets & Autoencoder (January, 2021).
autoencoder-mnist backpropagation cifar10 convolutional-neural-networks deep-learning pytorch transfer-learning
Language:Jupyter Notebook 3
MatejBabis / TensorFlow2Autoencoder
Basic deep fully-connected autoencoder in TensorFlow 2
tensorflow tensorflow2 autoencoder autoencoder-mnist
Language:Python 3
samridhishree / Deeplearning-Models
Deep learning models in Python
mlp-classifier restricted-boltzmann-machine autoencoder autoencoder-mnist language-modeling word2vec batch-normalization neural-language-model denoising-autoencoders multilayer-perceptron-network multilayer-network
Language:Python 3
spyros-briakos / AutoEncoder-and-Classifier-of-MNIST-images
Implementation of an Auto-Encoder and Classifier so as to classify images from MNIST dataset.
autoencoder-classification autoencoder-mnist mnist-dataset
Language:Python 3
A-Raafat / Classifiers-and-MNIST-Data
Extracting features using PCA, DCT, Centroid features and Auto encoder of 1 hidden-layer then classifying using K-means, GMM, SVM
mnist mnist-classification k-means pca svm gmm dct-coefficients clustering autoencoder-mnist centroid features center-off-mass
Language:Jupyter Notebook 2
Gauravshahare / ADVERSIAL_AUTOENCODER
Implementation of paper (https://arxiv.org/abs/1511.05644) for my own research
adversarial-networks generative-model pytorch mnist neural-network deep-learning autoencoder-mnist
Language:Jupyter Notebook 2
LorenzoValente3 / Deep-Learning-Models
Keras implementation of Deep Learning Models applied to the MNIST and Polynomial datasets. Repository for the Software and Computing for Nuclear and Subnuclear Physics Project.
deep-learning generative-model autoencoder-mnist variational-autoencoder generative-adversarial-network wasserstein-gan autoencoder-classification machine-learning
Language:Jupyter Notebook 2
Nishant2018 / AutoEncoder-Generative-AI-MNIST
Autoencoders are a type of neural network used for unsupervised learning. In unsupervised learning, the model learns patterns from the data without using labeled outcomes. The goal is to find the underlying structure or representation of the data.
autoencoder autoencoder-mnist autoencoders generative-ai
Language:Jupyter Notebook 2
priyavrat-misra / image-compression-cae
Image compression using Convolutional Autoencoders.
autoencoder deep-learning autoencoder-mnist pytorch-implementation transfer-learning
Language:Jupyter Notebook 2
saurabhkemekar / Denoising-Autoencoders
This project contains implementation of denoising autoencoder
torch autoencoder-mnist
Language:Jupyter Notebook 2
07Agarg / Unsupervised-Learning
This repository contains Autoencoders, Variational Autoencoders and GANS-Unsupervised Models developed for MNIST Dataset in Tensorflow and PyTorch.
unsupervised-machine-learning generative-adversarial-network autoencoder-mnist tensorflow pytorch variational-autoencoders
Language:Python 1
Bilpapster / NNs-playground
Neural Networks source code for image classification and reconstruction
autoencoder-mnist keras-tensorflow mlp-classifier neural-networks
Language:Jupyter Notebook 1
favalos / autoencoder-mxnet-scala
Simple implementation of Autoencoder with mxnet and scala.
deep-learning autoencoder-mnist scala mxnet deep-autoencoders
Language:Scala 1
Ninoko / Autoencoders
Different models of autoencoders: shallow, deep, convolutional, VAE, IWAE, DVAE, DIWAE
autoencoder autoencoder-mnist pytorch-implmention vae
Language:Python 1
princeGedeon / Auto_encoder_with_tensorflow
Auto encoder pour la reduction de dimensionnalité d'un dataset en 2D ou en 3D pour mieux visionner et aussi pour la suppression de bruit sur des données images (Cas MNIST)
tensorflow2 autoencoder-mnist autoencoder dimensionality-reduction image-processing
Language:Jupyter Notebook 1
rajeevsahay / fgs_dae_defense
machine-learning adversarial-attacks autoencoders autoencoder-mnist autoencoders-fashionmnist dimensionality-reduction
Language:Python 1
sayannath / Noise-Reduction-using-Auto-Encoders
Noise Reduction of Images using Auto Encoders.
autoencoders autoencoder-mnist tflite keras tensorflow
Language:Jupyter Notebook 1
shivchander / mnist-multilayer-feedforward
Multi Class Classification and Autoencoder for MNIST Dataset using Multi Layer Feed Forward Neural Net implemented from scratch
neural-networks multilayer-neural-network feedforward-neural-network mnist-classification mnist-handwriting-recognition python3 machine-learning deep-learning deep-neural-networks autoencoder-mnist autoencoder
Language:Python 1
CNN-AutoEncoder-DeepLearning
storieswithsiva / CNN-AutoEncoder-DeepLearning
➕💓Let's build the Simplest Possible Autoencoder . ⁉️🏷We'll start Simple, with a Single fully-connected Neural Layer as Encoder and as Decoder. 👨🏻‍💻🌟An Autoencoder is a type of Artificial Neural Network used to Learn Efficient Data Codings in an unsupervised manner🌘🔑
autoencoder autoencoder-classification autoencoder-neural-network autoencoder-model autoencoder-mnist autoencoder-clustering deep-learning deep-reinforcement-learning deep-neural-networks deep-learning-algorithms deep-learning-tutorial deeplearning sequence googlecolab google-analytics sequence-to-sequence deep-convolutional deep-fully-connected image-denoising simple-autoencoder
Language:Jupyter Notebook 1
vidisha999 / Autoencoder-as-a-generative-model-in-text-classification
Builds autoencoder model using Pytorch module. The outputs of the encoder and decoder structures are compared to demonstrate the models ability to reconstructs the input image, as well as decoder's capacity to generate synthetic data.
autoencoder autoencoder-mnist generative-model pytorch
Language:Jupyter Notebook 1
gabrielelobosco / denoising-autoencoder-r
Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels of Gaussian noise. Achieved up to 33.6 dB PSNR on MNIST (σ = 0.1). Using PSNR, SSIM to evaluate the model. Technologies: R, Keras, TensorFlow
academic academic-project ai autoencoder-cifar10 autoencoder-mnist cifar10 deep-learning denoising denoising-autoencoders denoising-mnist-data ia image-denoising image-processing machine-learning mnist r
Language:R

autoencoder-mnist

ReyhaneAskari / pytorch_experiments

abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging

nmeripo / Reducing-the-Dimensionality-of-Data-with-Neural-Networks

eugenet12 / pytorch-rbm-autoencoder

Mind-the-Pineapple / adversarial-autoencoder

satolab12 / anomaly-detection-using-autoencoder-PyTorch

fdavidcl / ae-review-resources

arunarn2 / AutoEncoder

codeperfectplus / autoEncoders

captain-pool / MNIST_AutoEncoder

LorenzoValente3 / Autoencoder-for-FPGA

sarthak268 / Deep_Neural_Networks

ariss95 / image_reconstructon_examples

braininahat / CVIP-CSE573

drishtiramesh / Image-Compression-and-Regeneration-Using-Variational-Autoencoders

martinetoering / Visual-Representation-Learning-Tutorials

MatejBabis / TensorFlow2Autoencoder

samridhishree / Deeplearning-Models

spyros-briakos / AutoEncoder-and-Classifier-of-MNIST-images

A-Raafat / Classifiers-and-MNIST-Data

Gauravshahare / ADVERSIAL_AUTOENCODER

LorenzoValente3 / Deep-Learning-Models

Nishant2018 / AutoEncoder-Generative-AI-MNIST

priyavrat-misra / image-compression-cae

saurabhkemekar / Denoising-Autoencoders

07Agarg / Unsupervised-Learning

Bilpapster / NNs-playground

favalos / autoencoder-mxnet-scala

Ninoko / Autoencoders

princeGedeon / Auto_encoder_with_tensorflow

rajeevsahay / fgs_dae_defense

sayannath / Noise-Reduction-using-Auto-Encoders

shivchander / mnist-multilayer-feedforward

storieswithsiva / CNN-AutoEncoder-DeepLearning

vidisha999 / Autoencoder-as-a-generative-model-in-text-classification

gabrielelobosco / denoising-autoencoder-r