Mathepia Ecosystem Official Website
To set up the website, please git clone this repo, and install node.js, then run
npm install
and npm run start
Name: Mathematical Epidemiology and Deep Learning
Type: Organization
Bio: Mathematical Epidemiology Data Mining Organization. Data preprocessing and analysis, model simulation and inference, epidemiology informed deep learning tools.
Location: China
Descriptions of Mathepia System
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
A collection of resources and papers on Diffusion Models
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.
Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
Bayesian Statistics using Julia and Turing
ETH course - Solving PDEs in parallel on GPUs
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Data and code for COVID-19 NPI effectiveness estimation.
A definitive dataset for COVID-19 in Canada.
DDE-BIFTOOL is a set of routines for performing numerical bifurcation analysis of delay-differential equations, running in MATLAB or GNU Octave
numerical bifurcation analysis for DDE
Source code for deep symbolic optimization.
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
A Julia port of the R code from Bjornstad's Epidemics: Models and Data Using R
R package for "Epidemics: Models and data using R"
Code for reproducing the results from the preprint "Estimating the date of emergence of an epidemic outbreak from detection data: Applications to COVID-19".
Differentiable interface to FEniCS for PyMC3
Physics-Enhanced Regression for Initial Value Problems
Gaussian Process Regression Interactive Javascript Demo
Julia programming for Machine Learning course at TU Berlin
Trying to recreate a version of the EpiRHandbook for new Julia users
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Mathepia Ecosystem Official Website
Spatial and temporal epidemiology data mining flow tools including data processing and analysis, model setup and simulation, inference and evaluation. Focusing on state-of-the-art methods such as universal differential equations, epidemiology-informed deep learning methods.
Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl
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.