Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
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Updated
Sep 22, 2017 - HTML
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
Implementation of Algorithms such as ANN, CNN, RNN, Boltzmann Machine, AutoEncoders. Time to go deep :)
Credit-Fraud-Detection-using-Autoencoder-and-keras
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Deep Learning - Spring 2019
Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..
Using modified autoencoders to color black and white photos
An investigation on the use of shapley explanations for unsupervised anomaly-detection models
code for Visualizing and Understanding the Relationship between PCA, Auto encoder and K-Means Clustering.
My Projects Submission to Udacity's Deep Learning Nanodegree Program
AutoEncoder model for finding N similar images to a given input image and partitioning the entire image dataset into K groups.
Data Science Practice Projects
Utilize autoencoders for anomaly detection and customer credit risk evaluation
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
Senior Product- A Canvas LMS anomaly detection algorithm
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
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