JuliaEpi / MathEpiDeepLearning
Awesome-spatial-temporal-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. Keep updating.
☆31Updated 2 years ago
Alternatives and similar repositories for MathEpiDeepLearning:
Users that are interested in MathEpiDeepLearning are comparing it to the libraries listed below
- ☆36Updated 3 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 3 years ago
- Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆16Updated this week
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆60Updated 7 months ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆20Updated last year
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Updated 5 years ago
- Algorithms for quantifying associations, independence testing and causal inference from data.☆155Updated 2 months ago
- Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics☆26Updated 7 years ago
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆12Updated 2 years ago
- ☆36Updated last year
- ☆21Updated 4 years ago
- Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex…☆65Updated 3 months ago
- ☆27Updated 6 years ago
- Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)☆57Updated 2 years ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆50Updated last year
- Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia☆53Updated 6 months ago
- Biologically-informed neural networks☆26Updated 4 years ago
- How to train a neural ODE for time series/weather forecasting☆38Updated 2 years ago
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆34Updated 5 months ago
- A package to represent high-order relationships between objects of any type☆34Updated last year
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆13Updated 2 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆61Updated 4 years ago
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆10Updated 3 months ago
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆30Updated 6 months ago
- ☆18Updated 4 years ago
- StatististicalRethinking notebook project using Stan and Pluto notebooks.☆19Updated 7 months ago
- Delay coordinates embeddings and optimizing them☆29Updated 4 months ago
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 3 years ago
- ☆29Updated 3 years ago
- A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.☆122Updated 8 months ago