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

Machine learning library for classification tasks

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

Machine learning library for classification tasks

Autoencoder for Feature Extraction

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

A collection of scripts and code for processing CPI-3V data

Several machine learning classifiers in Python

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

Mahjong Tile Image Classification with Denoising CAE and CNN

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

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

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

➕💓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🌘🔑

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.

Text Digit Character Computer Vision using convolutional autoencoder