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Eddy is a tool within FSL that corrects for eddy current distortions and head movements in diffusion MRI data.
Eddy is a tool within FSL that corrects for eddy current distortions and head movements in diffusion MRI data.
Tool within FSL for FMRIB's Improved Linear Model, used for statistical analysis of fMRI data, enhancing accuracy and reliability.
It is a set of useful command-line utilities which allow the conversion, processing etc.of Analyze/AVW and Nifti format data sets
MCFLIRT (Motion Correction using FMRIB's Linear Image Registration Tool) is a tool within FSL designed to perform motion correction on fMRI data.
Topup is a tool within FSL that corrects for susceptibility-induced distortions in echo planar imaging (EPI) data.
This package is a utility for FSL.
Geant4 is a toolkit for the simulation of the passage of particles through matter. Its areas of application include high energy, nuclear and accelerator physics, as well as studies in medical and space science.
Geant4 is a toolkit for the simulation of the passage of particles through matter. Its areas of application include high energy, nuclear and accelerator physics, as well as studies in medical and space science.
Geant4 is a toolkit for the simulation of the passage of particles through matter. Its areas of application include high energy, nuclear and accelerator physics, as well as studies in medical and space science.
Geant4 is a toolkit for the simulation of the passage of particles through matter. Its areas of application include high energy, nuclear and accelerator physics, as well as studies in medical and space science.
Geant4 is a toolkit for the simulation of the passage of particles through matter. Its areas of application include high energy, nuclear and accelerator physics, as well as studies in medical and space science.
Geant4 is a toolkit for the simulation of the passage of particles through matter. Its areas of application include high energy, nuclear and accelerator physics, as well as studies in medical and space science.
The Gurobi Optimizer is a commercial optimization solver for linear programming (LP), quadratic programming (QP), quadratically constrained programming (QCP), mixed integer linear programming (MILP), mixed-integer quadratic programming (MIQP), and mixed-integer quadratically constrained programming (MIQCP). See here for more info: https://www.gurobi.com/documentation/9.0/quickstart_linux/cs_python.html.
This package provides headers of the HFI1 Linux driver.
This package is low-level user-level Intel's communications interface. The PSM2 API is a high-performance vendor-specific protocol that provides a low-level communications interface for the Intel Omni-Path family of high-speed networking devices.
OpenFabrics Interfaces (OFI) is a framework focused on exporting fabric communication services to applications. OFI is best described as a collection of libraries and applications used to export fabric services. The key components of OFI are: application interfaces, provider libraries, kernel services, daemons, and test applications.
Libfabric is a core component of OFI. It is the library that defines and exports the user-space API of OFI, and is typically the only software that applications deal with directly. It works in conjunction with provider libraries, which are often integrated directly into libfabric.
(guix-science-nonfree packages machine-learning)Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce.
(guix-science-nonfree packages machine-learning)TensorPipe provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein.
(guix-science-nonfree packages machine-learning)PyTorch is a Python package that provides two high-level features:
tensor computation (like NumPy) with strong GPU acceleration;
deep neural networks (DNNs) built on a tape-based autograd system.
You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Note: currently this package does not provide GPU support.
(guix-science-nonfree packages machine-learning)Tensorboard is a visualization toolkit for TensorFlow, designed to provide metrics tracking, model visualization, and performance analysis. It allows users to generate interactive dashboards for monitoring training progress, visualizing computational graphs, and analyzing data distributions.
(guix-science-nonfree packages machine-learning)TensorFlow is a flexible platform for building and training machine learning models. It provides a library for high performance numerical computation and includes high level Python APIs, including both a sequential API for beginners that allows users to build models quickly by plugging together building blocks and a subclassing API with an imperative style for advanced research.
(guix-science-nonfree packages machine-learning)PyTorch is a Python package that provides two high-level features:
tensor computation (like NumPy) with strong GPU acceleration;
deep neural networks (DNNs) built on a tape-based autograd system.
You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Note: currently this package does not provide GPU support.
(guix-science-nonfree packages machine-learning)PyTorch is a Python package that provides two high-level features:
tensor computation (like NumPy) with strong GPU acceleration;
deep neural networks (DNNs) built on a tape-based autograd system.
You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Note: currently this package does not provide GPU support.