Training and evaluating a variational autoencoder for pan-cancer gene expression data

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

My Projects Submission to Udacity's Deep Learning Nanodegree Program

Inverse Reinforcement Learning for Robot Hand Manipulation Task

This is the implementation for our paper about an explainable artificial model for COVID-19 forecasting.

Data Science Practice Projects

A low-resource unsupervised image captioning solution by using autoencoder for image feature extraction and NLP for determining the best caption from the pre captioned similar images

Senior Product- A Canvas LMS anomaly detection algorithm

Implementation of Algorithms such as ANN, CNN, RNN, Boltzmann Machine, AutoEncoders. Time to go deep :)

code for Visualizing and Understanding the Relationship between PCA, Auto encoder and K-Means Clustering.

An investigation on the use of shapley explanations for unsupervised anomaly-detection models

Deep Learning - Spring 2019

Internet Movie Recommender Database is a website made using HTML, CSS, and Django which uses deep learning to recommend movies to users according to their preferences. An autoencoder trained on the ml-25m dataset using Pytorch was used for making the actual recommendation.

Vancouver DataFest 2022 - Advanced Python Workshop on Autoencoders

Deep Learning - gan-face-generation

AutoEncoder model for finding N similar images to a given input image and partitioning the entire image dataset into K groups.

Utilize autoencoders for anomaly detection and customer credit risk evaluation

Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..