Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
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PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Optax is a gradient processing and optimization library for JAX.
Lightweight, general, scalable C++ library for finite element methods
- finite-elements
- high-order
- high-performance-computing
- parallel-computing
C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.
Computational Geometry Unity library with implementations of intersection algorithms, triangulations like delaunay, voronoi diagrams, polygon clipping, bezier curves, ear clipping, convex hulls, mesh simplification, etc
- unity3d
- computational-geometry
- voronoi
- intersections
Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Scientific-grade astronomy routines for Python
Parallel solvers for sparse linear systems featuring multigrid methods.
- math-physics
- library
- hpc
- radiuss
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
A Python native dynamical system simulation framework in the block diagram paradigm.
- blockdiagram
- control-systems
- hierarchical-modeling
- nonlinear-dynamics
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.
- automatic-differentiation
- aad
- algorithmic-differentiation
- autodiff
Genetic Algorithm for solving optimization of trading strategies using Gekko
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".
- imaging
- ai
- cloud-computing
- medical-imaging
Java Constraint Programming solver
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
A C# DICOM Library
- dicom
- medical-physics
- radiology
- radiation-oncology
The V Tensor Library
- v
- hacktoberfest
- autograd
- deep-learning
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
Scientific computing in pure Crystal
- crystal
- linear-algebra
- machine-learning
- autograd
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
- mathematical-modelling
- automatic-differentiation
- mathematics
- math
A platform independent tensor library with autograd for the JVM
- java
- library
- deep-neural-networks