Performance Predictors for Graph Analytics
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Updated
May 8, 2019 - C++
Performance Predictors for Graph Analytics
Paper Link:
Link
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
A tool to predict the efficacy of DNN optimizations
Neural Architecture Performance PredictionUsing Graph Neural Networks
Fortran code analysis for performance prediction
This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (NeurIPS 2023).
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.
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