DiffSharp: Differentiable Functional Programming
- machine-learning
- tensor
- dotnet
- autodiff
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DiffSharp: Differentiable Functional Programming
A tool for semi-automatic cell type classification
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
A dependency-free cross-platform swiss army knife for PDB files.
A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Reference mapping for single-cell genomics
V library to develop Artificial Intelligence and High-Performance Scientific Computations
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
A fully featured, pythonic library for representing and using quaternions
Cirno's Perfect Math Library: Just about everything you need for 2D/3D games. Hopefully.
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
pyMOR - Model Order Reduction with Python
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
Solve automatic numerical differentiation problems in one or more variables.
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
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.
High performance computational platform in Python for the spectral Galerkin method
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
A general library for geometry operations of union, intersections, difference, and xor
A simple cross platform .NET API for Intel MKL
Python package for calculating reference/potential evapotranspiration (ETo).