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Tags: Science and math
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265–288 of 372 · Most stars

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.

Cumo (pronounced like "koomo") is CUDA aware numerical library whose interface is highly compatible with Ruby Numo

  • ruby
  • cuda
  • numo
  • scicentific-computing

Rails frontend to The Genome Institute's drug gene interaction database.

🔟 Implementation of rational number arithmetic for .NET with arbitrary precision.

  • arbitrary-precision
  • biginteger
  • bigrational
  • c-sharp

The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.

Variations on Kirby & Paris' hydra battles and other entertaining math in Coq (collaborative, documented, includes exercises) [maintainer=@Casteran]

  • coq
  • hydra-battles
  • ordinal-notations
  • formal-proofs

NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.

  • r
  • neuroanatomy-toolbox
  • cran
  • neuron

Fast detection of repackaged Android applications based on the comparison of resource files included into the package.

  • android
  • android-security
  • repackaging-detection
  • java

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

MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.

Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders