Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining

Mahjong Tile Image Classification with Denoising CAE and CNN

Machine learning library for classification tasks

A PyTorch implementation of Adversarial Autoencoders for unsupervised classification

The aim of this project is to train autoencoder, and use the trained weights as initialization to improve classification accuracy with cifar10 dataset.

Machine learning library for classification tasks

Machine learning library for classification tasks

A repository containing my submissions for the evaluation test for prospective GSoC applicants for the DeepLense project

Implementation of an Auto-Encoder and Classifier so as to classify images from MNIST dataset.

Binary Classification of images of cells which are either uninfected or parasitized by malaria.

Senior Product- A Canvas LMS anomaly detection algorithm

This is the Final Project for DATS 6203 Machine Learning II of George Washington University.

Comparison of multiple methods for calculating MNIST hand-written digits similarity.

NN architectures for ModelNet40 3D classification with Voxels and PointCloud approaches

➕💓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🌘🔑

Variational AutoEncoder for Pattern Detection Demo

Bachelors project of group CS-23-DAT-6-06 of Aalborg university

Several machine learning classifiers in Python

This repository represents an Auto-Encoder which can Encode and Decode itself and give the output at the output layer