Pinned Repositories
conformal-metalearners
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
ETAB
[ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"
InstructCV
[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"
med-real2sim
Official Codebase for "Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"
pathologist-in-the-loop
[ NeurIPS 2023 ] Official Codebase for "Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback"
WebCP
[ NeurIPS 2023 R0-FoMo Workshop ] Official Codebase for "Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data"
Alaa Lab's Repositories
AlaaLab/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
AlaaLab/InstructCV
[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"
AlaaLab/conformal-metalearners
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
AlaaLab/ETAB
[ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"
AlaaLab/pathologist-in-the-loop
[ NeurIPS 2023 ] Official Codebase for "Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback"
AlaaLab/WebCP
[ NeurIPS 2023 R0-FoMo Workshop ] Official Codebase for "Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data"
AlaaLab/med-real2sim
Official Codebase for "Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"