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

Machine learning library for classification tasks

Mahjong Tile Image Classification with Denoising CAE and CNN

Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models

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

A PyTorch implementation of Adversarial Autoencoders for unsupervised classification

Machine learning library for classification tasks

Autoencoder model for FPGA implementation using hls4ml. Repository for Applied Electronics Project.

Deteccion de fraudes de tarjetas de credito usando Machile Learning implementando distintos algoritmos y haciendo comparaciones de rendimiento con respecto a la clasificacion de transacciones.

Autoencoder for Feature Extraction

Machine learning library for classification tasks

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

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

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.

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

Text Digit Character Computer Vision using convolutional autoencoder

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