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Oğuz Kırman's Projects

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

chow_test icon chow_test

Python module to calculate time series Chow break statistics.

code-for-blog icon code-for-blog

Code for various tutorials and programs I've written about on my blog

covgc icon covgc

Covariance based Granger Causality analysis for fMRI

dbnet icon dbnet

DBNet: A Large-Scale Dataset for Driving Behavior Learning

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-portfolio-theory icon deep-portfolio-theory

Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

deeptrade icon deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

dfa icon dfa

Detrended Fluctuation Analysis

dividend-forecast-simulation icon dividend-forecast-simulation

We attempt to build predictive ML models to help investors create dividend forecasts for S&P500 companies. By building a proprietary data pipeline, we perform data preprocessing, cleaning and feature engineering on historic financial data to derive market insights.

dped icon dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

eth-price-prediction icon eth-price-prediction

Predicting Ethereum price changes. Results of an LSTM (Long Short Term Memory) and an SVM (Support Vector Machine) are being compared.

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