mirah-jz Goto Github PK
Type: User
Company: University of Bristol
Bio: Urban Science, Network Science, Geo Data Science, Designerd. PhD candidate on causal modelling - counterfactual prediction.
Location: Shanghai/ London
Type: User
Company: University of Bristol
Bio: Urban Science, Network Science, Geo Data Science, Designerd. PhD candidate on causal modelling - counterfactual prediction.
Location: Shanghai/ London
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Information flow and causal redundancy (overdetermination) in dynamic geographic systems.
Uplift modeling and causal inference with machine learning algorithms
Conformal prediction for causal effects under spatial interference
Course project for housing price diffusion. US state level panel data 1999-2019. Spatial panel and dynamic panel models, IV and GMM estimation.
UK house prices. EMD, transfer entropy, wavelets.
The course project for topic modelling with STM and LDA. Exploring topic correlation.
2022 individual project: Work time and cardiovascular event related mortality in the US working age urban population
An ongoing repository of data on coronavirus cases and deaths in the U.S.
A PyTorch toolbox for domain adaptation and semi-supervised learning.
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
work in progress
Generative Agents: Interactive Simulacra of Human Behavior
Talk given at the GIScience conference, Sep 2023, Leeds, UK.
Paper for GISRUK 2024.
Hypergraph Neural Networks (AAAI 2019)
a slime mold simulation in JS and WebGL
A game theoretic approach to explain the output of any machine learning model.
Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
StyleGAN2 - Official TensorFlow Implementation
A Tensorflow 2.0 implementation of TabNet.
TorchGeo: datasets, transforms, and models for geospatial data
trustworthy AI related projects
Based on the design logic, UrbanXTools could generate urban design automatically in a very short period of time, and evaluated from the view of sustainability, with the help of algorithms. While gradually bridging the gap between urban design and sustainable systems, the toolbox could improve the efficiency of design.
A Python sandbox for decision making in dynamics
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.