🔮 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

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

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

GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction

A tool to predict the efficacy of DNN optimizations

Performance Predictors for Graph Analytics

Self-study ML project: salary & performance prediction app using an HR productivity dataset

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Paper Link:

A Machine Learning framework for early performance prediction and design space exploration in computer architecture simulations (ChampSim).

Python tool to generate training data for my master thesis

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

this project implements physics-informed machine learning models to predict lithium-ion battery degradation and performance metrics, including RUL, SoC, and SoH.

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