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Tags: Science and math
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73–96 of 113 · Most stars

a unified framework for modeling chemically reactive systems

  • chemical-equilibrium
  • chemical-kinetics
  • reactive-transport
  • chemical-reactions

Umbrella package of the 'spatstat' family................

  • r
  • spatial-analysis
  • spatial-data
  • spatstat

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

  • model-predictive-control
  • nonlinear-model-predictive-control
  • mpc
  • nmpc

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

  • source-energy-balance
  • canopy
  • soil
  • radiometric-temperatures

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.

Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.

  • character-animation
  • crowd-simulation
  • motion-generation
  • motionbricks

Mission-control style spacecraft tracker in Rust: live ISS, Dragon, Hubble, JWST and Roman orbits, passes and schedules. Retro CRT themes, and a mode for Raspberry Pi + composite CRT.

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

  • protein
  • protein-sequences
  • protein-design
  • representation-learning

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).

  • deep-generative-model
  • deep-learning
  • single-cell-data-integration
  • single-cell-multiomics