jeremykid

the-algorithm

Source code for Twitter's Recommendation Algorithm

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

jupyter-ai

A generative AI extension for JupyterLab

voxelmorph

Unsupervised Learning for Image Registration

mamba.py

A simple and efficient Mamba implementation in pure PyTorch and MLX.

Awesome-Healthcare-Foundation-Models

gram

Graph-based Attention Model

EasyTemporalPointProcess

EasyTPP: Towards Open Benchmarking Temporal Point Processes

PaperForONLG

Paper list for open-ended language generation

SynthSR

A framework for joint super-resolution and image synthesis, without requiring real training data

ehrshot-benchmark

A benchmark for few-shot evaluation of foundation models for electronic health records (EHRs)

NeuralPointProcess

survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

CorrI2P

[TCSVT] CorrI2P: Deep Image-to-Point Cloud Registration via Dense CorrespondenceThe code of CorrI2P

tf_rmtpp

Recurrent Marked Temporal Point Processes

ecg-qa

Official repository for distributing ECG-QA dataset

SurvTRACE

SurvTRACE: Transformers for Survival Analysis with Competing Events

SHEPHERD

SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

DIRAC

This is the official Pytorch implementation of "Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans" (MICCAI 2022), written by Tony C. W. Mok and Albert C. S. Chung.

ECGdeli

This is ECGdeli - A selection of delicious algorithms for ECG delineation

FasterRisk

Create sparse and accurate risk scoring systems!

neuralTPPs

SurvLIMEpy

Local interpretability for survival models

philo

Philo: uniting modalities

Diffeomorphic-Image-Registration-Postprocess

PyTorch-Implementation-of-Models-Based-on-Longitudinal-EHR-Data

PyTorch implementation of state-of-the-art deep learning models for learning patient representations from sequential EHR data.

SurvPP

Code for "Survival Permanental Processes for Survival Analysis with Time-Varying Covariates" at NeurIPS2023

PCLbot

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