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Tags: Science and math
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ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

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

Vision-Language Pathology Foundation Model - Nature Medicine

  • bioimage-analysis
  • bioimage-informatics
  • conch
  • foundation-model

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

  • histopathology-images
  • microscopy
  • sliding-windows
  • medical-image-analysis

A Python native dynamical system simulation framework in the block diagram paradigm.

  • blockdiagram
  • control-systems
  • hierarchical-modeling
  • nonlinear-dynamics

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.

  • arithmetic
  • integer-arithmetic
  • fixed-point-arithmetic
  • rational-arithmetic

A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV

Advanced date, time and interval library for Java with sun/moon-astronomy and calendars like Chinese, Coptic, Ethiopian, French Republican, Hebrew, Hijri, Historic Christian, Indian National, Japanese, Julian, Korean, Minguo, Persian, Thai, Vietnamese

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

Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs

  • gpu
  • exascale
  • cfd
  • fortran