weijie2's starred repositories

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.

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philo

Philo: uniting modalities

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SurvTRACE

SurvTRACE: Transformers for Survival Analysis with Competing Events

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mamba.py

A simple and efficient Mamba implementation in PyTorch and MLX.

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vit-pytorch

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

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tf_rmtpp

Recurrent Marked Temporal Point Processes

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EasyTemporalPointProcess

EasyTPP: Towards Open Benchmarking Temporal Point Processes

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ecg-qa

Official repository for distributing ECG-QA dataset

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ehrshot-benchmark

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

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mae

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

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SurvPP

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

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SHEPHERD

SHEPHERD: Deep learning for diagnosing patients with rare genetic diseases

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SurvLIMEpy

Local interpretability for survival models

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survshap

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

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FasterRisk

Create sparse and accurate risk scoring systems!

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gram

Graph-based Attention Model

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ECGdeli

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

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PaperForONLG

Paper list for open-ended language generation

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jupyter-ai

A generative AI extension for JupyterLab

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voxelmorph

Unsupervised Learning for Image Registration

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CorrI2P

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

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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SynthSR

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

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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.

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