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GitHub / Mathepia / awesome-sciml
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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mathepia%2Fawesome-sciml
Stars: 7
Forks: 1
Open Issues: 0
License: mit
Language: JavaScript
Repo Size: 1.56 MB
Dependencies:
1,033
Created: over 1 year ago
Updated: 4 months ago
Last pushed: over 1 year ago
Last synced: 19 days ago
Topics: bayesian-deep-learning, bayesian-inference, data-science, deep-learning, julia, machine-learning, mathematical-biology, mathematical-epidemiology, neural-ode, physics-informed-neural-networks, pinns, probabilistic-machine-learning, probabilistic-programming, scientific-computing, scientific-machine-learning, time-series, universal-differential-equations
Files
Dependencies
- @docusaurus/core 2.0.0-beta.18
- @docusaurus/preset-classic 2.0.0-beta.18
- @mdx-js/react ^1.6.22
- clsx ^1.1.1
- prism-react-renderer ^1.3.1
- react ^17.0.2
- react-dom ^17.0.2
- actions/checkout v2 composite
- actions/setup-node v3 composite
- peaceiris/actions-gh-pages v3 composite
- actions/checkout v2 composite
- actions/setup-node v3 composite