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Lok Weng Cheong's Projects

bendattention icon bendattention

Attention in LLMs utulizing fast object allocation inference utulizing all of parallel hardware in utulizing GPU

neuroboostedkcat icon neuroboostedkcat

In the dynamic and evolving realm of enzyme kinetics, quantifying the turnover number (Kcat) for Transferases plays an integral role in understanding their catalytic efficiency. Our project, NeuroBoostedKcat, represents an avant-garde approach, converging deep learning with traditional boosting methodologies.

sgomilung icon sgomilung

LORA + Diffusion Synthetic Generation of Medical Imaging for Lung Disease Diagnosis

transferaseml-benchmark icon transferaseml-benchmark

Machine Learning Benchmark for Transferase Substrate Activation: This repository presents a systematic approach to evaluate a comprehensive set of features for predicting activation free energy, specifically focusing on kcat values. The benchmark model automates the process, ensuring rigorous and reproducible results in substrate energy screening.

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