Search Results for "norm"
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Showing 43 open source projects for "norm"
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MNE-Python
Magnetoencephalography (MEG) and Electroencephalography EEG in Python
Open-source Python package for exploring, visualizing, and analyzing human neurophysiological data. MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more. -
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Coolify
An open-source & self-hostable Heroku / Netlify / Vercel alternative
Coolify is an open-source & self-hostable alternative to Heroku / Netlify / Vercel / etc. It helps you manage your servers, applications, and databases on your own hardware; you only need an SSH connection. You can manage VPS, Bare Metal, Raspberry PIs, and anything else. Imagine having the ease of a cloud but with your own servers. That is Coolify. No vendor lock-in, which means that all the configurations for your applications/databases/etc are saved to your server. So, if you decide to... -
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Pathway
Python ETL framework for stream processing, real-time analytics, LLM
...Pathway is especially well-suited for scenarios like financial analytics, IoT, fraud detection, and logistics, where high-velocity and continuously changing data is the norm. Unlike traditional batch processing frameworks, Pathway continuously updates the results of your data logic as new events arrive, functioning more like a database that reacts in real-time. It supports Python, integrates with modern data tools, and offers a deterministic dataflow model to ensure reproducibility and correctness. -
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HCubature.jl
Pure-Julia multidimensional h-adaptive integration
The HCubature module is a pure-Julia implementation of multidimensional "h-adaptive" integration. then hcubature(f, a, b) computes the integral, adaptively subdividing the integration volume into smaller and smaller pieces until convergence is achieved to the desired tolerance (specified by optional rtol and atol keyword arguments. Because hcubature is written purely in Julia, the integrand f(x) can return any vector-like object (technically, any type supporting +, -, * real, and norm: a Banach space). You can integrate real, complex, and matrix-valued integrands, for example. Note that HCubature assumes that your function f(x) can be computed at arbitrary points in the integration domain. (This is the ideal way to do numerical integration.) If you instead have f(x) precomputed at a fixed set of points, such as a Cartesian grid, you will need to use some other method (e.g. ... -
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Convex.jl
A Julia package for disciplined convex programming
...Convex.jl makes it easy to describe optimization problems in a natural, mathematical syntax, and to solve those problems using a variety of different (commercial and open-source) solvers. Convex.jl works by transforming the problem—which possibly has nonsmooth, nonlinear constructions like the nuclear norm, the log determinant, and so forth—into a linear optimization problem subject to conic constraints. This reformulation often involves adding auxiliary variables and is called an "extended formulation", since the original problem has been extended with additional variables. These formulations rely on the problem being modeled by combining Convex.jl's "atoms" or primitives according to certain rules which ensure convexity, called the disciplined convex programming (DCP) ruleset. ... -
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Bootstrap Your Own Latent (BYOL)
Usable Implementation of "Bootstrap Your Own Latent" self-supervised
...This repository offers a module that one can easily wrap any image-based neural network (residual network, discriminator, policy network) to immediately start benefitting from unlabelled image data. There is now new evidence that batch normalization is key to making this technique work well. A new paper has successfully replaced batch norm with group norm + weight standardization, refuting that batch statistics are needed for BYOL to work. Simply plugin your neural network, specifying (1) the image dimensions as well as (2) the name (or index) of the hidden layer, whose output is used as the latent representation used for self-supervised training. -
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Quaternion Lorentz
Complex quaternion calculator with Lorentz boosts and rotations
...THEORY Complex quaternions have form q = A + B * I + C * J + D * K with A, B, C, D complex I * I = -1 , J * J = -1 , K * K = -1, I * J = K, J * I = -K , J * K = I,K * J = -I, K * I = J, I * K = -J Transpose T takes I into -I, J into -J, K into -K (q1 q2)T = q2T q1T Star complex conjugates A, B, C, D Bar is product of T and Star, Norm(q) = qTq Norm(q1*q2)=Norm(q1)*Norm( q2) q in H1 iff q qT = qT q = 1 4-vector X=t + i*x*I +i*y*J + i*z*K XPRIME = q X Bar(q) for q in H1 Form with real scalar, imaginary spatial is preserved Bar(X) = X and Bar(XPRIME )= XPRIME Norm(XPRIME) = Norm(X) = t*t - x*x - y*y - z*z q=cos(theta/2)+K*sin(theta/2) rotates by theta about z q=cosh(alpha/2)+i*I*sinh(alpha/2) boosts by alpha along x -
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librsb
A shared memory parallel sparse matrix library including Sparse BLAS.
...The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. ... -
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DeepSeek LLM
DeepSeek LLM: Let there be answers
...The model is trained from scratch, reportedly on a vast multilingual + code + reasoning dataset, and competes with other open or open-weight models. The architecture mirrors established decoder-only transformer families: pre-norm structure, rotational embeddings (RoPE), grouped query attention (GQA), and mixing in languages and tasks. It supports both “Base” (foundation model) and “Chat” (instruction / conversation tuned) variants. -
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ProxSDP.jl
Semidefinite programming optimization solver
ProxSDP is an open-source semidefinite programming (SDP) solver based on the paper "Exploiting Low-Rank Structure in Semidefinite Programming by Approximate Operator Splitting". The main advantage of ProxSDP over other state-of-the-art solvers is the ability to exploit the low-rank structure inherent to several SDP problems. -
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Detectron2
Next-generation platform for object detection and segmentation
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark. It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, etc. Can be used as a library to support different projects on top of it. We'll... -
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RMGDFT
Real Space Multigrid based electronic structure code.
News: active RMG development has moved to github https://github.com/RMGDFT News: V4.1.0 released on 09/29/2020 News: V4.0.0 released on 09/01/2020 with major updates. News: V3.0.0 released on 06/09/2018 with major updates. News: V2.2.2 released on 10/14/2017 with minor bug fixes. News: V2.2 with performance enhancements, bug fixes and new features released on 06/26/2017. Sources are available with binaries to follow soon. News: V2.1 with many improvements released on... -
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xrechnung-visualization-codelist-resolve
Resolving codelists for XRechnung-Visualization
Mit den im GitHub Repositorium der KoSIT bereitgestellten XSL Transformatoren (https://github.com/itplr-kosit/xrechnung-visualization) kann eine elektronische Rechnung gem. der Europäischen Norm EN16931 sowie davon abgeleitete CIUS, wie z.B. XRechnung, in eine HTML- oder PDF-Ansicht überführt werden. Mit den hier bereitgestellten Skripten kann innerhalb dieser XSL Transformation zusätzlich zu den enthaltenen Codelistenwerten eine Beschreibung des jeweiligen Codelistenwertes ergänzt werden. Die originalen Codewerte werden dazu nicht verändert, sondern die Beschreibung lediglich in Klammer ergänzt. ... -
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DaNNet
Deep Artificial Neural Network framework using Armadillo
DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network. -
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PsiNorm
A norm calculator for neuropsychological tests for daily use in clinic
Our premise when starting this project was that why do we have to dig through arrays of normative values to find the group our patient belongs to. Then proceed to manually calculate its z score and find out where it is on the percentile graph, when we could have a software that could do it for us. We weren’t able to find one in the literature. Thus came the PsiNorm. Currently only a demo for english exists, while Turkish adapted version is fully functional. If you'd like a... -
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NNC
Nuclear Norm Clustering
We present Nuclear Norm Clustering (NNC), an algorithm that can be used in different fields as a promising alternative to the k-means clustering method, and that is less sensitive to outliers. The NNC algorithm requires users to provide a data matrix M and a desired number of cluster K. We employed simulate annealing techniques to choose an optimal L that minimizes NN(L). -
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L1-norm-robust-regression
linear regression on the basis of minimal absolute deviations error
This software provides a Fortran95 implemented routine to call and obtain the L1-norm regression coefficients. The "standard" linear regression minimizes the squared error. (L2-norm-regression). It allows for a simple solution process, hence its popularity. But it is not robust to outlier points. L1-norm regression is robust with respect to outliers but the solution algorithm is more difficult. It minimizes the sum of absolute deviations. -
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SWIPS
Chess tournament organisation tool with swiss pairing system for free.
...It is server-based and it is also accessible using a web browser. SWIPS ensures transparency, fairness and facilitation of organizer’s tasks. SWIPS helps to preserve chess standards because it follows the FIDE official norm. SWIPS pairing engine has already been tested in practice. SWIPS won the software projects contest TP cup. We are the agile software engineers and chess enthusiasts who like challenges and want to bring innovative solutions to chess organisers. www.swips.eu -
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Norm-regulated Transition System Sit.
Implementation of Norm-regulated Transition System Situations
Java/Prolog implementation of Norm-regulated Transition System Situations, as described in the paper Norm-regulated Transition System Situations, presented at the ICAART 2013 conference (see project homepage). -
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dnrDALMAS
A general-level Prolog implementation of the DALMAS architecture.
...University of Gävle, Division of Computer Science; University of Gävle. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-1475 See also: Odelstad, J., & Boman, M. (2004). Algebras for Agent Norm-Regulation. Annals of Mathematics and Artificial Intelligence, 42(1), 141–166. http://doi.org/10.1023/B:AMAI.0000034525.49481.4a -
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HEIMDALL
High-End Interface for Monitoring & spatial Data Analysis using L2Norm
HEIMDALL, short for High-End Interface for Monitoring and spatial Data Analysis using L2-Norm, is a set of public libraries written in JAVA which contains routines and algorithms for geodetic hardware connection. To observe objects (in general spatial points) continuous, HEIMDALL’s programmable logic arrays can be used to design monitoring systems. For data analysis an interface to the least-squares program JAG3D can be provided. -
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OWASP File Format Validation
Library for file format validation based on official specifications.
...Validation is based on the official specifications (ISO, RFC, UIT-T, ...) of tested formats and not only on signatures. The core is the "File Format Database" (FFD). It's a collection of rules set. One rule verify one specification of a norm. Each rules set is a group of rules checking a same norm. The FFD is independant of implementation of validation. The validation is very simplist and she's based on File Format Database. If we want validate a file, we open the file and we pass all methods of validation of format to validate. The sources code of methods is build on rules of the FFD. -
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pyL1min
General purpose norm-1 minimization solver in Python
pyL1min is a general purpose norm-1 (l1) minimization solver written in Python. It is based on NumPy/SciPy, CVXOPT ( FFTW enabled) to solve l1 minimization problems that are based on interior point methods. You need to install Python, NumPy/SciPy and CVXOPT ( FFTW enabled) to use this software. The test.py program demonstrates a simple application in Compressive Sensing and shows how to use l1min module. -
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Data Matrix
Java Api to manipulate simple on data of Matrix Type
...Usefull methods to manipulate with diagonals. For example you can create block diagonal matrix. There is lot of usefull methods to manipulate on mathematic matrix also, like determinant , norm , minor , cofactor , solveLienarSystem , arithmetic operations also and lot more.
