ahmedmalaa Goto Github PK

ahmedmalaa_v1.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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.

autoprognosis

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

avalanche

causalml

Uplift modeling and causal inference with machine learning algorithms

covid-policy-tracker

Systematic dataset of Covid-19 policy, from Oxford University

cph200b

Repository for the Computational Precision Health Cornerstone Course (CPH200B)

deep-gaussian-processes

PyTorch implementation of Deep Gaussian processes with various inference algorithms using probabilistic programming.

deepstrain

A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

discriminative-jackknife

Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.

e-pix2vox-reconstruction

Code to implement "Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views"

evaluating-generative-models

few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

fourier-flows

galai

Model API for GALACTICA

gpc

Gaussian process code in C++ including some implementations of GP-LVM and IVM.

ie-automl-competition

Description and instructions for the Inspiration Exchange AutoML competition organized by the vanderschaar lab.

instructcv

Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"

nerfstudio

A collaboration friendly studio for NeRFs

nsf-proposal-latex

An NSF proposal template in LaTeX

pip-covid19

Policy Impact Predictor

plotneuralnet

Latex code for making neural networks diagrams

point-e

Point cloud diffusion for 3D model synthesis

pyro

Deep universal probabilistic programming with Python and PyTorch

pyro-probabilistic-models

Implementation for various (deep) probabilistic models with API using Pyro (https://pyro.ai/).

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.

rnn-blockwise-jackknife

Codebase for "Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions", ICML 2020.

rnn-models

A unified implementation for various RNN-based Tensorflow models for sequential data with a user friendly API.

ssl-benchmarks

A python library for self-supervised learning on images.