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/Deep-Gaussian-Processes
PyTorch implementation of Deep Gaussian processes with various inference algorithms using probabilistic programming.
ahmedmalaa/Pyro-probabilistic-models
Implementation for various (deep) probabilistic models with API using Pyro (https://pyro.ai/).
ahmedmalaa/RNN-models
A unified implementation for various RNN-based Tensorflow models for sequential data with a user friendly API.
ahmedmalaa/GPc
Gaussian process code in C++ including some implementations of GP-LVM and IVM.
ahmedmalaa/pyro
Deep universal probabilistic programming with Python and PyTorch