Search Results for "tensor" - Page 5
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Showing 125 open source projects for "tensor"
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Laxor is a C++ template library for componentwise tensor algebra, which uses the "Einstein" index notation in expressions and produces efficient binary code.
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FaRe
Mathematica package for tensor reduction of Feynman integrals.
Version 1.2 is now available! This version is compatible with FeynCalc 9.0 FaRe is a Mathematica package for tensor reduction of Feynman integrals. The integral can be any-rank and any-order. Dimensional reduction is used and the final output is regrouped according to tensor structures. FaRe requires FeynCalc to work. Please refer to http://arxiv.org/abs/1507.03527 for a detailed manual. If you use FaRe in a scientific publication or talk, please give proper academic credit by citing http://inspirehep.net/record/1382623 For any information please write to: m.re-fiorentin AT soton.ac.uk -
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WavePacket
Dynamics of quantum systems, controlled by external fields
...The Matlab/Octave version is mature and has been used in production for decades. The C++/Python version has been superseded by https://github.com/ulflor/wavepacket. Using tensor train techniques, the additional WaveTrain package aims at beating the curse of dimensionalit -
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DTI-density
Seeding resolution dependence of diffusion tensor MRI visualizations
While visualizing the diffusion tensor MRI (DTI) dataset using streamtubes, the unit (1x1x1) resolution in full volume seeding approach has been used as default parameters and the resulting tractography contains very dense geometries that causes visual complexity impeding the exploration of DTI visualizations. However, questions like "if the unit seeding resolution is optimal for visualizing either whole brain model or tract-of-interest (TOI)", "if not, what the optimal choice of seeding should be", and especially, "how quantitatively the choice of the fiber tracking parameter, seeding resolution, connects with the informativeness and meaningfulness of DTI visualizations". ... -
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Stereo-display-dti
Effects of display factors on diffusion tensor MRI visualizations
This project was launched to further study other factors beyond those during the data processing - display factors such as screen size and stereo/mono characteristics. With this study, we expected to verify the hypothesis that, given the dense information in DTI streamtube visualization, enlarging screen and/or employing stereo would enhance the visualization of DTI dataset as a whole by improving user's task performance. -
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InBox
Multiple-view Multiple-selection interface for exploring DTI visualiza
Diffusion tensor magnetic resonance imaging (DTI) is the currently unique in-vivo MRI technique for probing the distribution of neural pathways and micro-structures of biological tissues, thus promising for neurology and neuroanatomy research. However, the 3-Dimensional DTI tractography (DTT) suffers from the overwhelmingly dense resulting fiber tracts in its visualizations which substantially impedes effective exploration, tracts-of-interest (TOI) selection, for example, in the practical clinical diagnoses. ... -
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TTV
Tensor total variation for low-dose CT perfusion
We have developed a robust and efficient framework to accurately estimate the perfusion parameters at low radiation dosage. Specifically, we present a tensor total-variation (TTV) technique which fuses the spatial correlation of the vascular structure and the temporal continuation of the blood signal flow. An efficient algorithm is proposed to find the solution with fast convergence and reduced computational complexity. -
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Uni10
C++ library for tensor network algorithms
Uni10 is an open-source C++ library designed for the development of tensor network algorithms. Programming tensor network algorithms is tedious and prone to errors. The task of keeping track of tensor indices while performing contraction of a complicated tensor network can be daunting. It is desirable to have a platform that provides bookkeeping capability and optimization. -
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vIST/e
Interactive visualization of DTI, HARDI and other complex imaging data
vIST/e is a C++ application that allows interactive visualization of various kinds of imaging datasets, both simple scalar data as well as complex high-dimensional data such as diffusion tensor imaging (DTI) and high angular resolution imaging data (HARDI). vIST/e is based on VTK, Qt and is designed as a plugin system which allows it to be extended in a flexible way. vIST/e emerged from being the main research tool of Imaging Science and Technology Eindhoven (IST/e), a major imaging group Eindhoven University of Technology, the Netherlands which brings together all university faculties involved in medical or industrial imaging. ... -
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MasQu
Finite-differencing on the sphere
MasQU is a code for calculating derivatives on grids with regular or irregular pixel distributions, using finite differences. Particularly, it is constructed to perform tensor-mode separation on the HEALPix spherical grid, but can be generalized. -
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The software is developed for calculations of hierarchy big circuits by methods of the tensor analysis of networks and diakoptic. It is planned also to application for joint calculation of circuits and the fields presented by electrical equivalent circuits. For input of circuits editor KiCAD is used.
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Multilinear Subspace Learning
MSL: Dimensionality Reduction of Tensor Data via Subspace Learning
...With more connections revealed and analogies drawn between multilinear algorithms and their linear counterparts, MSL has become an exciting area to explore for applications involving large-scale multidimensional (tensorial) data as well as a challenging problem for machine learning researchers to tackle. MSL-based dimensionality reduction employs either tensor-to-tensor projection (TTP) or tensor-to-vector projection (TVP). TTP finds a direct mapping from high-dimensional tensors to low-dimensional tensors of the same (or lower) order. TVP finds a direct mapping from high-dimensional tensors to low-dimensional vectors. -
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TCE
The Tensor Contraction Engine
A domain-specific compiler that facilitates the generation of high-performance parallel programs for a class of scientific computations encountered in chemistry and physics. -
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MEPCM Package
This is a package for multi-element probabilistic collocation method.
The Multi-Element Probabilistic Collocation Method Package (MEPCMP) is a C++ package which can generate high dimensional, multi-element collocation points based on arbitrary probability density function for the application of Multi-Element Probabilistic Collocation Method (MEPCM). This package can generate high-dimensional stochastic collocation points based on tensor product rule, non-nested sparse grids method or anchored-ANOVA method. It can also be used for the multi-element probabilistic polynomial chaos method. -
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Depolarization analysis tools
Tools for the accurate analysis of Raman depolarization measurement
This programme addresses the notoriously difficult problem to quantitatively link measured Raman depolarization values to theoretical polarizability tensor quantities, since quantum calculations do not incorporate experimental parameters. A numerical model is programme to calculate, for realistic experimental configurations, effective Raman line strength functions, which find their way into depolarization ratios. The model is based on interlinked integrations over the angles in the light collection path, and a finite Raman source volume along the excitation laser beam. ... -
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zmcomplex library is a C++ library for multi-precision complex-number matrix calculations. It provides several functionalities including singular value decomposition, tensor product calculation, and tracing-out operation.
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C/CUDA C library for working with tensors in Tensor Train format.
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The Tensor Voting Framework is a powerful technique for perceptual grouping, manifold learning, etc. It has proved to be a useful tool in the Computer Vision community. OpenTVF is an open source implementation of TVF.
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Tensor is a tool written in Ruby that helps provide an estimate on the cost of change on test source code based on a radical change in design on production source code, especially around branch execution code. It works with the JRuby interpreter also on
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Linear algebra C++ library built upon a tensor class template that can be used to represent tensors of ranks 0 - scalaras, 1 - vectors, 2 - matrices, 3 - tensors of rank 3, etc. It also includes an interface to BLAS and LAPACK subroutines.
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spineDTI
spinal cord DTI pre-processing
Shell script for spinal cord diffusion tensor imaging (DTI) preprocessing and outlier rejection. -
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Grok-2.5
Large-scale xAI model for local inference with SGLang, Grok-2.5
Grok-2.5 is a large-scale AI model developed and released by xAI in 2024, made available through Hugging Face for research and experimentation. The model is distributed as raw weights that require specialized infrastructure to run, rather than being hosted by inference providers. To use it, users must download over 500 GB of files and set them up locally with the SGLang inference engine. Grok-2.5 supports advanced inference with multi-GPU configurations, requiring at least 8 GPUs with more... -
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DeepSeek-V3.1-Terminus
685B model with improved agents and consistency
DeepSeek-V3.1-Terminus is an updated release in the DeepSeek-V3.1 series, maintaining the original model’s large-scale reasoning and generative capabilities while addressing several key user-reported issues. It improves language consistency, reducing mixed Chinese-English outputs and eliminating abnormal characters, enhancing reliability in multilingual scenarios. The update also refines agentic capabilities, especially for the Code Agent and Search Agent, leading to better tool integration...
