The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)

Using machine learning algorithms to predict first innings score in limited overs cricket matches

An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch. Also Repository to my package "sanfis".

Sparse Spectrum Gaussian Process Regression

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

Black-box spike and slab variational inference, example with linear models

Codes and templates for ML algorithms created, modified and optimized in Python and R.

Scanned Paper Rotation Correction using PyTorch to automatically correcting the orientation of scanned paper documents between -45° , 45°

Numerical techniques for optimization of artificial Intelligence

This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.

Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air

This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.

An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.

Next Door neighbours Python implementation

Comparison of regression predictive modelling with ARIMA, GRU and LSTM.

Machine learning tutorial with examples

Implementation of the k*-Nearest Neighbors method in Python

Basit Regresyon: Python ile Uygulama