Generative Archimedean Copulas

Inference and Sampling for Archimax Copulas

Code for training non-parametric copula networks

We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)

A list of papers/resources in Survival Analysis that I have read or would like to read.

A systematic survey of multi-modal and multi-task visual understanding foundation models for driving scenarios

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

This repo provides the pipeline of processing TCGA whole-slide images for downstream multiple instance learning.

[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

SuMo-net

This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.

Papers & Works for large languange models (ChatGPT, GPT-3, Codex etc.).

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

整合一份使用使用Linux 以及 conda环境等做深度学习 常使用到的指令

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

botzone的snake

Code for TEDVAE, a VAE-based treatment effect estimation algorithm.

Multi-Instance Causal Representation Learning

Must-read papers and resources related to causal inference and machine (deep) learning

Contains codes of DeepAttnMISL in MEDIA'20

An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.