aytacpacal Goto Github PK

aytacpacal

aytacpacal.github.io

climate-learning

How to predict extreme events in climate using rare event algorithms and modern tools of machine learning

cmip_warming_levels

year when a certain warming level was reached in cmip5 and cmip6 data

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

dagmm-1

DAGMM Tensorflow implementation

era5cli

Command Line Interface to download ERA5 from Copernicus Climate Data Service

esmvaltool

ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

lstm-vae-torch

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

natural-earth-vector

A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.

phys68l

BOUN-PHYS68L FALL2018 project

sci-hub-injector

Adds SciHub links to popular publisher websites

sketch2app

The ultimate sketch to code app made using GPT4 vision. Choose your desired framework (React, Next, React Native, Flutter) for your app. It will instantly generate code and preview (sandbox) from a simple hand drawn sketch on paper captured from webcam

turkiye_cartogram

Cartogram maps created to visualise the provinces of Turkey according to population

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

xaida4detection

zotero-citationcounts

Zotero plugin for auto-fetching citation counts from various sources