aix360

Interpretability and explainability of data and machine learning models

aksarburak

My personal repo

anomaly_detection_hpc

Detect mis-configured nodes in a real HPC system through semi-supervised autoencoders

anomalyresearch

burakaksar.github.io

Welcome to my website

cocob

TensorFlow implementation of COCOB

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

ec521

Project about exploiting vulnerabilities of smart watches

effectivepytorch

PyTorch tutorials and best practices.

efficient-gan-anomaly-detection

for-bu

gan-anomaly-detection

Experiments to compare the existent methods of anomaly detection using GANs

hw3-skeleton

Template repo for HW3

kaggle-web-traffic

1st place solution

lab6-skeleton

Template repo var lab6

language-verilog

Verilog language support in Atom

leouieda

machinelearning

mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

mtoslalibu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nekbone

Proxy app for Nek5000

novelty-detection

Latent space autoregression for novelty detection.

opencv

Open Source Computer Vision Library

pythontoolkit

rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

skip-ganomaly

Source code for Skip-GANomaly paper

terriertrivia

Website to post score from the Terrier Trivia Android App

transparent_latent_gan

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit