A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
- optimization
- optimization-algorithms
- optimization-methods
- optimization-problem
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A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A Euclidean diffusion model for structure-based drug design.
A Python native dynamical system simulation framework in the block diagram paradigm.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
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.
Neural networks toolbox focused on medical image analysis
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.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
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.
Genetic Algorithm for solving optimization of trading strategies using Gekko
The TiGL Geometry Library to process aircraft geometries in pre-design.
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Descriptor computation(chemistry) and (optional) storage for machine learning
Bayesian Optimization using GPflow
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".
Mundo: Customized World Model