Pinned Repositories
AutoPrognosis
Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
discriminative-jackknife
Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
evaluating-generative-models
Fourier-flows
rnn-blockwise-jackknife
Codebase for "Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions", ICML 2020.
Symbolic-Metamodeling
Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
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"
ahmedmalaa's Repositories
ahmedmalaa/AutoPrognosis
Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
ahmedmalaa/Symbolic-Metamodeling
Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
ahmedmalaa/evaluating-generative-models
ahmedmalaa/Fourier-flows
ahmedmalaa/discriminative-jackknife
Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
ahmedmalaa/rnn-blockwise-jackknife
Codebase for "Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions", ICML 2020.
ahmedmalaa/attentive-state-space-models
Code for the NeurIPS 2019 paper: "Attentive State-Space Modeling of Disease Progression", by A. M. Alaa and M. van der Schaar.
ahmedmalaa/torch-influence-functions
Computing influence functions for deep neural networks.
ahmedmalaa/IE-AutoML-competition
Description and instructions for the Inspiration Exchange AutoML competition organized by the vanderschaar lab.
ahmedmalaa/causalml
Uplift modeling and causal inference with machine learning algorithms
ahmedmalaa/covid-policy-tracker
Systematic dataset of Covid-19 policy, from Oxford University
ahmedmalaa/PlotNeuralNet
Latex code for making neural networks diagrams
ahmedmalaa/pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
ahmedmalaa/Thesis
ahmedmalaa/ahmedmalaa_v1.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ahmedmalaa/avalanche
ahmedmalaa/cph-200b
Repository for the Computational Precision Health Cornerstone Course (CPH 200B - Winter 2025)
ahmedmalaa/DeepStrain
A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics
ahmedmalaa/E-Pix2Vox-reconstruction
Code to implement "Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views"
ahmedmalaa/few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
ahmedmalaa/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
ahmedmalaa/galai
Model API for GALACTICA
ahmedmalaa/InstructCV
Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"
ahmedmalaa/nerfstudio
A collaboration friendly studio for NeRFs
ahmedmalaa/nsf-proposal-latex
An NSF proposal template in LaTeX
ahmedmalaa/PIP-COVID19
Policy Impact Predictor
ahmedmalaa/point-e
Point cloud diffusion for 3D model synthesis
ahmedmalaa/ssl-benchmarks
A python library for self-supervised learning on images.
ahmedmalaa/t-few
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
ahmedmalaa/web
Website