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Ahmet Kaplan's Projects

laqul icon laqul

A complete starter kit that allows you create amazing apps that look native thanks to the Quasar Framework. Powered by an API developed in Laravel Framework using the easy GraphQL queries language. And ready to use the Google Firebase features.

mailserver icon mailserver

Simple and full-featured mail server using Docker

muslumanakdi icon muslumanakdi

http://www.fikircografyasi.com/makale/imani-resetlemek sayfasında ilk önerisi yapılan sözleşmeyi hep beraber zenginleştirelim.

opensc icon opensc

Open source smart card tools and middleware. PKCS#11/MiniDriver/Tokend

opnform icon opnform

Simple and open-source form builder

ph-commons icon ph-commons

Java 1.8+ Library with tons of utility classes required in all projects

ph-sbdh icon ph-sbdh

Java library for reading and writing UN CEFACT Standard Bussiness Document Header documents

postgis-replica icon postgis-replica

Postgres 15 with PostGIS, wal-g, pg_auto_failover, PLPython3. The docker image doesn't have any volume declarations and uses uid 1000 to ease the support of pg_upgrade.

quant_stock icon quant_stock

Stock analysis/prediction model using machine learning

sdn-ddos-detection-and-mitigation-using-ml-and-statistical-methods icon sdn-ddos-detection-and-mitigation-using-ml-and-statistical-methods

Programmed the SDN controller to monitor the traffic, predict the traffic behaviour and detect DDOS traffic in the cloud network and mitigate it. Machine learning SVM algorithm was used to predict the malicious traffic in the network, achieved an accuracy of 98% and detection rate of 100%.

sql2dart icon sql2dart

Generate dart type definitions from PostgreSQL database schema (WIP)

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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