An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with autoencoder-mnist

A curated list of projects in awesome lists tagged with autoencoder-mnist .

https://github.com/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

Last synced: 26 Feb 2025

https://github.com/sayannath/noise-reduction-using-auto-encoders

Noise Reduction of Images using Auto Encoders.

autoencoder-mnist autoencoders keras tensorflow tflite

Last synced: 30 Mar 2025

https://github.com/k-karna/autoencoder

autoencoder projects - colorisation, denoising | tensorflow

autoencoder-mnist python tensorflow2

Last synced: 07 Apr 2025

https://github.com/adeel-intizar/keras-autoencoders

Implementation of Conv-AutoEncoder and Variational-AutoEncoder in TensorFlow/ keras

autoencoder autoencoder-mnist convolutional-neural-networks keras tensorflow variational-autoencoder

Last synced: 26 Feb 2025

https://github.com/anindya-prithvi/mnist_caelatentspace

Convolutional AutoEncoders (MNIST) and their generative capabilities (kind of amazing)

autoencoder-mnist linear-discriminant-analysis machine-learning mnist onnx onnxruntime onnxruntime-web plt python

Last synced: 05 Mar 2025

https://github.com/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.

autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder

Last synced: 26 Jun 2025

https://github.com/machinecyc/sideprojects

Basic conception of loss function, dimension reduction, transfer learning, image classification.

autoencoder-mnist center-loss kaggle keras mnist-dataset regression side-project tensorflow transfer-learning triplet-loss

Last synced: 26 Mar 2025

https://github.com/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.

autoencoder-mnist cnn computer-vision deep-learning mnist neural-network

Last synced: 27 Mar 2025

https://github.com/the-pinbo/dimensionalityredux-pca-vs-autoencoders

Comparative study of PCA and Autoencoders for effective dimensionality reduction, assessed through PSNR and SSIM metrics.

autoencoder-mnist autoencoders data-analysis dimensionality-reduction image-compression mnist neural-networks pca psnr ssim

Last synced: 13 May 2025