Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
- matlab
- rust
- jit-compiler
- linear-algebra
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Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
Schema and generated objects for biolink data model and upper ontology
Matrix Algebra proGrams In Common Lisp.
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
ChEMBL database structure pipelines
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
High performance computational platform in Python for the spectral Galerkin method
Allocators, I/O streams, math, geometry, image and audio processing for D
Graph-based molecule modeling toolkit for cheminformatics
a unified framework for modeling chemically reactive systems
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
A command-line utility for quick math.
Practical volume computation and sampling in high dimensions
A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning
Wrapper for RDKit's RunReactants to improve stereochemistry handling
A simple cross platform .NET API for Intel MKL
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
The V Tensor Library
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A dataset, API, and parser for USDA plant hardiness zones.
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
Scientific computing in pure Crystal
A framework for high-performance domain decomposition methods.
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.