Mugen-chen

bcauss

Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"

c2am

Causal Class Activation Map

CausalGAN

CEVAE_pytorch

cfrnet

Counterfactual Regression

CONTA

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

Deep-Counterfactual-Networks-with-Propensity-Dropout

Implementation of the paper "Deep Counterfactual Networks with Propensity-Dropout"(https://arxiv.org/pdf/1706.05966.pdf) in pytorch framework

DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

dragonnet-pytorch

pytorch implementation of dragonnet

FMA-WSSS

This repo is a implementation of the Foundation Model Assisted Weakly Supervised Semantic Segmentation. The code is developed based on the Pytorch framework.

Mugen-chen/CEVAE_pytorch

Mugen-chen/bcauss

Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"

Mugen-chen/c2am

Causal Class Activation Map

Mugen-chen/CausalGAN

Mugen-chen/cfrnet

Counterfactual Regression

Mugen-chen/CONTA

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

Mugen-chen/Deep-Counterfactual-Networks-with-Propensity-Dropout

Implementation of the paper "Deep Counterfactual Networks with Propensity-Dropout"(https://arxiv.org/pdf/1706.05966.pdf) in pytorch framework

Mugen-chen/DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Mugen-chen/dragonnet-pytorch

pytorch implementation of dragonnet

Mugen-chen/FMA-WSSS

This repo is a implementation of the Foundation Model Assisted Weakly Supervised Semantic Segmentation. The code is developed based on the Pytorch framework.

Mugen-chen/GANITE

Mugen-chen/ganite_pytorch

Mugen-chen/ifsl

[NeurIPS 2020] Released code for Interventional Few-Shot Learning

Mugen-chen/Long-Tailed-Recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

Mugen-chen/MaaAssistantArknights

《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.

Mugen-chen/Python-100-Days

Python - 100天从新手到大师

Mugen-chen/SCIGAN

Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica, J. Jordon, M. van der Schaar

Mugen-chen/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Mugen-chen/SITE

Mugen-chen/stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Mugen-chen/StableNet

Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".

Mugen-chen/VACA

Mugen-chen/VC-R-CNN

[CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''

Mugen-chen/visdial-principles

Mugen-chen/visual-counterfactuals

Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals

Mugen-chen/WSMIS

Weakly Supervised Medical Images Segmentation