Pinned Repositories
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
Code_Quality_and_Analysis_Training
Continual-Normalization
CreditCardFraudDetection
Detect payment fraud on credit card transactions
DDS-ReliabilityEstimation
Fast-DDS
The most complete DDS - Proven: Plenty of success cases.
github-demo
A simple demo repository to show the basic Git workflow
jhipster
memoryReferences
small project to see differences between reference types
SoftwareAsAGraph
Represent a software as a graph in order to detect design defects
onuralpyigit's Repositories
onuralpyigit/SoftwareAsAGraph
Represent a software as a graph in order to detect design defects
onuralpyigit/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
onuralpyigit/Code_Quality_and_Analysis_Training
onuralpyigit/Continual-Normalization
onuralpyigit/CreditCardFraudDetection
Detect payment fraud on credit card transactions
onuralpyigit/DDS-ReliabilityEstimation
onuralpyigit/Fast-DDS
The most complete DDS - Proven: Plenty of success cases.
onuralpyigit/github-demo
A simple demo repository to show the basic Git workflow
onuralpyigit/jhipster
onuralpyigit/memoryReferences
small project to see differences between reference types
onuralpyigit/Near-State-of-the-Art-results-on-classifying-EuroSAT-satellite-images-using-Keras
onuralpyigit/Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
onuralpyigit/rasterio
Rasterio reads and writes geospatial raster datasets
onuralpyigit/repo
This repository contains all the source code for http://www.source4code.info
onuralpyigit/ScalaHelloWorld
onuralpyigit/siml
Machine Learning algorithms implemented from scratch
onuralpyigit/SmartMenu
onuralpyigit/starter-web
Simple starting point website project based upon Initializr
onuralpyigit/tensorflow
Computation using data flow graphs for scalable machine learning