axium/Blind-Image-Deconvolution-using-Deep-Generative-Priors

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Created almost 6 years ago
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axium/Blind-Image-Deconvolution-using-Deep-Generative-Priors

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Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"

CNN-For-End-to-End-Deblurring--Keras

Trained an End-to-End model for deblurring of celebrity faces (CelebA).

Jupyter Notebook

VAE-SVHN

Variational Autoencoder Trained on SVHN dataset with weights.

Jupyter Notebook

Glow-Pytorch

This contains my pytorch implementation of Glow from OpenAI.

Mercedes-Benz-Greener-Manufacturing-Bayesian-Optimization

An implementation on tuning hyper-parameters in a regression problem (Mercedes-Benz Greener Manufacturing challenge) using Baysian Optimization (Scikit-Optimize).

Jupyter Notebook

CinC-2016-Abnormal-Heartbeat

My take on CinC challenge 2016 competition where the goal was to classify between normal and abnormal noisy heartbeat signal

Data-Science-Bowl-2018

Nuclei Segmentation

Jupyter Notebook