vanderschaarlab Goto Github PK
Name: van_der_Schaar \LAB
Type: Organization
Bio: We are creating cutting-edge machine learning methods and applying them to drive a revolution in healthcare.
Twitter: MihaelaVDS
Name: van_der_Schaar \LAB
Type: Organization
Bio: We are creating cutting-edge machine learning methods and applying them to drive a revolution in healthcare.
Twitter: MihaelaVDS
The van der Schaar Lab: Machine learning and AI for medicine
Active Observing in Continuous-time Control
Systematic Simulation and Benchmarking of Repeated Resource Allocation Policies in Multi-User Systems with Varying Resources
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
AutoPrognosis with imaging data
This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human concepts. For more details, please read our NeurIPS 2022 paper: 'Concept Activation Regions: a Generalized Framework for Concept-Based Explanations.
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
Sklearn-style implementations of model selection criteria for CATE estimation
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
clairvoyance2: a Unified Toolkit for Medical Time Series
Code to replicate the results in the AISTATS23 paper "Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data" (Curth & van der Schaar, 2023)
Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
D-CODE: Discovering Closed-form ODEs from Observed Trajectories
Code for the paper: Reimagining Synthetic Data Generation through Data-Centric AI: A Comprehensive Benchmark (NeurIPS 2023)
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
Data-SUITE: Data-centric identification of in-distribution incongruous examples
A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Deep Generative Symbolic Regression Code
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
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.