Lok Weng Cheong's repositories
BendAttention
Attention in LLMs utulizing fast object allocation inference utulizing all of parallel hardware in utulizing GPU
GPTScratch
building LLM from scratch
NBA-Deep-Learning-Odds
NBA sports betting using Deep learning
SGOMILung
LORA + Diffusion Synthetic Generation of Medical Imaging for Lung Disease Diagnosis
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.
PyTorchPractice
Practing PyTorch CV, GAN, etc implementations.
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.