Topic: "autoencoder-mnist"
ReyhaneAskari/pytorch_experiments
Auto Encoders in PyTorch
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abhisheksambyal/Autoencoders-using-Pytorch-Medical-Imaging
Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
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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)
Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 37 - Forks: 8
eugenet12/pytorch-rbm-autoencoder
Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)
Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 7
Mind-the-Pineapple/adversarial-autoencoder
Tensorflow 2.0 implementation of Adversarial Autoencoders
Language: Python - Size: 2.81 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 20 - Forks: 10
fdavidcl/ae-review-resources
Additional resources for an overview on autoencoders
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satolab12/anomaly-detection-using-autoencoder-PyTorch
encoder-decoder based anomaly detection method
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codeperfectplus/autoEncoders
Deep convolutional autoencoder for image denoising
Language: PureBasic - Size: 11.1 MB - Last synced at: 25 days ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 1
arunarn2/AutoEncoder
Stacked Denoising and Variational Autoencoder implementation for MNIST dataset
Language: Python - Size: 2.65 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 4
captain-pool/MNIST_AutoEncoder 📦
AutoEncoder on MNIST Digit
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0
sarthak268/Deep_Neural_Networks
This repository contains Pytorch files that implement Basic Neural Networks for different datasets.
Language: Python - Size: 103 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1
drishtiramesh/Image-Compression-and-Regeneration-Using-Variational-Autoencoders
Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0
MatejBabis/TensorFlow2Autoencoder
Basic deep fully-connected autoencoder in TensorFlow 2
Language: Python - Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0
samridhishree/Deeplearning-Models
Deep learning models in Python
Language: Python - Size: 266 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0
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.
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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.
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saurabhkemekar/Denoising-Autoencoders
This project contains implementation of denoising autoencoder
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spyros-briakos/AutoEncoder-and-Classifier-of-MNIST-images
Implementation of an Auto-Encoder and Classifier so as to classify images from MNIST dataset.
Language: Python - Size: 38.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2
priyavrat-misra/image-compression-cae
Image compression using Convolutional Autoencoders.
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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
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braininahat/CVIP-CSE573
UB Computer Vision
Language: Matlab - Size: 281 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0
comibear/Autoencoders
Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
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)
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Sagnik220/Image-Noise-Reduction-with-Auto-encoders
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sayannath/Noise-Reduction-using-Auto-Encoders
Noise Reduction of Images using Auto Encoders.
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martinetoering/Visual-Representation-Learning-Tutorials
Project materials for teaching bachelor students about fundamentals on Deep learning, PyTorch, ConvNets & Autoencoder (January, 2021).
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shivchander/mnist-multilayer-feedforward
Multi Class Classification and Autoencoder for MNIST Dataset using Multi Layer Feed Forward Neural Net implemented from scratch
Language: Python - Size: 3.19 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
07Agarg/Unsupervised-Learning
This repository contains Autoencoders, Variational Autoencoders and GANS-Unsupervised Models developed for MNIST Dataset in Tensorflow and PyTorch.
Language: Python - Size: 85.2 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
DataS-DHSC/tech-club
Materials for Statistics and Data Science (SDS) Tech Club sessions
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anan97-ya/Fashion-MNIST-prototype
A prototype system that uses a CNN encoder and edge-based features to retrieve visually similar fashion items from the Fashion MNIST dataset using cosine similarity.
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mayankmittal29/TensorTinker_Statistical_Methods_in_AI
This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.
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shadoisper/k-sparse-autoencoder
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dikshap07/ML-Algorithms-and-Concepts
Implementation of ML algorithms and concepts from scratch and using scikit learn.
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Ant0in/Projet5-IA
Autoencoder python implementation for Machine Learning and image reconstruction (with noise).
Language: Python - Size: 762 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
messierandromeda/Machine-Learning
Some machine learning algorithms implemented in TensorFlow or PyTorch.
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tgaurav7/Machine-Learning
Application of Machine Learning tools from Python
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Redpanda-dev/DATAML200-Pattern-Recognition-And-Machine-Learning
My DATAML200 - Pattern Recognition And Machine Learning course implementations.
Language: Python - Size: 2.71 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
suryansh-sinha/AutoEncoders
PyTorch implementation of an Undercomplete AutoEncoder that learns a lower dimensional latent space representation of images from the MNIST dataset.
Language: Jupyter Notebook - Size: 22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Makri-Panagoula/KNN-Clustering-on-MNIST
Multiple algorithms on KNN & Clustering on MNIST dataset implemented in C++ & .Jupyter Notebook
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Bilpapster/NNs-playground
Neural Networks source code for image classification and reconstruction
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kamrulhasanrony/Auto-Encoder-Transformation-Model-From-Handwritten-to-Font-Digits
This project focuses on utilizing an autoencoder model to generate font digit images that correspond to handwritten digit images.
Language: Python - Size: 3.56 MB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Raghul-G2002/DeepLearning_Sample_Notebooks
This repository consists of sample notebook which can take you through the basic deep learning excersises in Tensorflow and Pytorch
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somenath203/Removing-Noise-from-MNIST-handwritten-digit-images-using-Autoencoder
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zoli333/WinnerTakeAll Fork of iwyoo/tf_ConvWTA
Pythorch implementation of Winner-Take-All Autoencoder
Language: Python - Size: 2.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Sarthak-10/AutoEncoder-using-MNIST-Dataset
The project contains the implementation of an AutoEncoder using the MNIST Dataset.
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the-pinbo/DimensionalityRedux-PCA-vs-Autoencoders
Comparative study of PCA and Autoencoders for effective dimensionality reduction, assessed through PSNR and SSIM metrics.
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Swarno-Coder/AI-AutoEncoder
This repository represents an Auto-Encoder which can Encode and Decode itself and give the output at the output layer
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ettehadieh/Autoencoder-and-classifier-for-encoded-MNIST
In this program propose is making an autoencoder with Fully Connected Neural Networks and making a classifier to class encoded MNIST images
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samarth0898/MNISTAutoEncoder
Simple self-supervised autoencoder to accurately learn MNIST image reconstructions.
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machineCYC/SideProjects
Basic conception of loss function, dimension reduction, transfer learning, image classification.
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alexanderbaumann99/Intro-to-deep-learning
Homework of the introductory course of Deep Learning at TUM
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k-karna/autoencoder
autoencoder projects - colorisation, denoising | tensorflow
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UditSharma9999/Autoencoder
Language: Jupyter Notebook - Size: 116 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
Anindya-Prithvi/MNIST_CAELatentSpace
Convolutional AutoEncoders (MNIST) and their generative capabilities (kind of amazing)
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LorenzoValente3/Autoencoder-for-FPGA
Autoencoder model for FPGA implementation using hls4ml. Repository for Applied Electronics Project.
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muddukrishna96/Auto_Encoders
Simple Autoencoder implementation in Keras using mnist dataset
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thesfinox/avogadro-2021
Code and demos - XVII Avogadro Meeting (2021)
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harsh204016/Deep-Learning
This repository consist of various notebooks related to Deep Learning Processes
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sudarshan0419/multi-layer-feed-forward-neural-networks-for-MNIST-
Multi-layer feed-forward neural networks and auto-encoder network for MNIST dataset implemented from scratch
Language: Python - Size: 4.68 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
deep-pooja/Neural_net_CNN_Autoencoder
In this project I worked on personalized handwritten datasets as well as standard MNIST dataset. I used deep learning Keras API
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LuBru90/ML_Autoencoders
Autoencoder - Variational Autoencoder - Anomaly detection - using PyTorch
Language: Python - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
JustAbhishek/MNIST-Digit-Recognizer
Comparative-Models for MNIST Dataset
Language: Jupyter Notebook - Size: 217 MB - Last synced at: 5 days ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
sabbih-shah/simple-conv-autoencoder
Comparison between a linear and convolutional autoencoder.
Language: Python - Size: 452 KB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
05rs/Autoencoders
The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for the purpose of dimensionality reduction.
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
Adeel-Intizar/Keras-AutoEncoders
Implementation of Conv-AutoEncoder and Variational-AutoEncoder in TensorFlow/ keras
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liacov/homework4_nndl
Repository for Homework 4 - Neural Networks and Deep Learning course @ UniPD.
Language: Jupyter Notebook - Size: 63.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
pranav-gupta-7/Convolutional-Autoencoder-for-Noise-Removal
Convolutional Autotencoder for noise removal and fine tuned vgg16 model to classify denoised images.
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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🌘🔑
Language: Jupyter Notebook - Size: 45.5 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1
angrybayblade/image_search
🔍 Image Search engine based on mnist dataset.
Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
Batserine/Autoencoders
Keras and Pytorch implementation of autoencoders.
Language: Jupyter Notebook - Size: 260 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
SwikarGautam/VAE
Variational Autoencoder (VAE) trained on MNIST
Language: Python - Size: 492 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
dangvansam/simple-autoencoder
Audio encoder for reconstruct, denoise image or audio spectrogram
Language: Python - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
Atharva500/Convolutional-Autoencoder
Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
bhushan1499/Autoencoders-for-mnist-dataset
Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
avinsit123/Generative-models
Includes code to Generative models like Variational Autoencoders,Generative Adversarial Networks
Language: Jupyter Notebook - Size: 165 KB - Last synced at: 10 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
saranshmanu/Autoencoders
Autoencoders (AE) are a family of neural networks for which the input is the same as the output. They work by compressing the input into a latent-space representation, and then reconstructing the output from this representation.
Language: Python - Size: 76.2 KB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0
favalos/autoencoder-mxnet-scala
Simple implementation of Autoencoder with mxnet and scala.
Language: Scala - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
Abhipanda4/PyTorch-Examples
Various neural network models coded using pytorch framework to familiarize myself with pytorch.
Language: Python - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
KamalovRuslan/Autoencoder
Autoencoder implementations and experiments with MNIST. MSU DL course.
Language: Python - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
