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Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
Causal Class Activation Map
Counterfactual Regression
Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation
Implementation of the paper "Deep Counterfactual Networks with Propensity-Dropout"(https://arxiv.org/pdf/1706.05966.pdf) in pytorch framework
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
pytorch implementation of dragonnet
This repo is a implementation of the Foundation Model Assisted Weakly Supervised Semantic Segmentation. The code is developed based on the Pytorch framework.
[NeurIPS 2020] Released code for Interventional Few-Shot Learning
[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'.
《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.
Python - 100天从新手到大师
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
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.
High-Resolution Image Synthesis with Latent Diffusion Models
Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
[CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''
Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals
Weakly Supervised Medical Images Segmentation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.