Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
- differential-equations
- scientific-machine-learning
- neural-networks
- numerical-methods
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Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
3D modeling in Python, built for LLMs.
Gazebo database of SDF models. This is a predecessor to https://app.gazebosim.org
Official repository for the ProteinGym benchmarks
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
A dataset, API, and parser for USDA plant hardiness zones.
FastGenericNew: high-performance generic instantiation for .NET, replacing Activator.CreateInstance<
Type-safe dependency injection singleton wrapper with lazy init and generic constructor support
TranslatedAntifouling coating evidence panel: formulation sandbox, route biofouling stress, literature bounds. Simulation ≠ measurement. Live: https://simulator.jassyhong.top
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
Node-RED nodes for The Weather Company and Weather Underground Personal Weather Station APIs
This is a debugger for use with cannon-es and BabylonJS