Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (NeurIPS 2023).

Fortran code analysis for performance prediction

Neural Architecture Performance PredictionUsing Graph Neural Networks

Code for "Conformal Performance Range Prediction for Segmentation Output Quality Control" accepted to MICCAI UNSURE 2024

Lightweight, extensible, and fair multi- DNN manager for heterogeneous embedded devices.

A tool to predict the efficacy of DNN optimizations

Performance Predictors for Graph Analytics

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🏀 Machine learning-based analysis to predict the NBA Rookie of the Year, identifying key player attributes using statistical modeling and classification algorithms.

Python tool to generate training data for my master thesis

Employee performance prediction using XGBoost multiclass classification (92.5% accuracy, 93.3% CV F1-score) with SHAP interpretability. Analyzes 1,200 employee records across 28 features, identifies top 3 performance drivers, and provides HR recommendations. Full pipeline: EDA, feature engineering, model comparison, and deployment-ready inferen