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Şenol AKKAŞ's repositories

sklearn-optimize

Optimize hyperparameters for a support vector machine classifier (SVC) in scikit-learn via genetic algorithm

Language:Python14 30

Automatic-categorization-and-summarization-of-news

The aim of this project is Automatic categorization and summarization of Turkish news

Language:HTML030

react-redux-minesweeper

react redux minesweeper

Language:JavaScriptGPL-3.0030

ChatterBot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

Language:PythonBSD-3-Clause030

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

MIT020

duckling

Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

Language:HaskellNOASSERTION030

duckling_old

Deprecated in favor of https://github.com/facebookincubator/duckling

Language:ClojureNOASSERTION030

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Language:Jupyter NotebookMIT020