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Tags: Science and math
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1–24 of 31 · Most stars

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

  • blas
  • lapack
  • lapacke

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

  • mesa
  • agent-based-modeling
  • agent-based-simulation
  • simulation-framework

A collection of GICP-based fast point cloud registration algorithms

  • point-cloud
  • pcl
  • gicp
  • icp

Ark -- Archetype-based Entity Component System (ECS) for Go.

  • ecs
  • entity-component-system
  • go
  • golang

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".

AI-based pathology predicts origins for cancers of unknown primary - Nature

  • histology
  • pathology
  • wsi-images
  • histopathology

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

  • model-predictive-control
  • nonlinear-model-predictive-control
  • mpc
  • nmpc

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

  • self-attention
  • compound-protein-interaction
  • transformercpi
  • structure-free-virtual-sreening

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux