Search Results for "numerical" - Page 8
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Showing 528 open source projects for "numerical"
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A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.
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Jasmine
Super fast Java aexpression and algorithm evaluator
V1.0.1 fully compatible with PS2 and 3. Jasmine uses the ASM byte code manipulation library (http://asm.ow2.org/) to create Java byte code to evaluate numerical expressions and algorithms. Evaluation of compiled expressions is very fast, in most cases it is faster than the equivalent byte code produced by the Java compiler (javac). -
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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OpenNum
OpenNum lets you distribute solvers with a nice graphical interface
...More specifically, OpenNum lets you · to collect a hierarchical dataset, · to call any executable file and · to visualize scalar and vector fields, plot graphs or show simple plain text files. It also has other useful utilities specifically designed for numerical simulation packages: · it allows managing a centralized materials dataset; · it can read several finite element mesh formats and several field formats. -
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ats2-lang
ATS2: Unleashing the potentials of types and templates
...ATS2 extends ATS with an advanced template system, allowing functional programming to be employed in a setting where only bare minimal run-time support is available. In addition, the template system makes ATS2 highly suitable for supporting numerical computation. -
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HMD Mathematics
Numerical mathematics platform, Matlab alternative
Matlab alternative. Scilab alternative. GNU Octave alternative. Mathematics software for numerical computation. Ordinary differential equations solver and finite elements solver. It has a console script interpreter, as well as a graphical interface script interpreter, for entering equations and statements, and a line plot display. -
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
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GtkDatabox
A GTK+-3 widget to display data
GtkDatabox is a widget for live display of large amounts of fluctuating numerical data. Data presentation (e.g. on linear or logarithmic scales, as dots or lines, with markers/labels) as well as user interaction (e.g. measuring distances) is easy. -
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pgfplots - A TeX package to draw normal and/or logarithmic plots directly in TeX in two and three dimensions with a user-friendly interface and pgfplotstable - a TeX package to round and format numerical tables. Examples in manuals and/or on web site. ATTENTION: As of February 2020, the development has been moved to https://github.com/pgf-tikz/pgfplots ! Please refer to the new page for downloads and change requests! This page is kept in read-only mode.
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This data set contains data for virtual experiments for an undergraduate course from the Pontificia Universidad Católica del Perú. It constitutes the Supporting Information for a scientific article entitled "Application of blended physical-virtual experiments and flipped instruction in a fundamental fluid mechanics course: a design-based research study" submitted to Computer Applications in Engineering Education. The educational material contained in this dataset is shared under the GNU...
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muditulib
a multi-dimensional tuning library
...Additionally, a Pure Data implementation is provided. This implementation consist of several classes to be used as a modular system. The library makes use of a multidimensional numerical pitch representation system, a variant of the very well-known one-dimensional MIDI note system. Ambitions for other implementations are very welcome. Muditulib offers new ways of approaching tuning within the scope of diatonic (roughly the majority of) tonal music within the digital domain. For more information, please have a look at https://muditulib.acls.eu, read the README.txt or the Muditulib Reference Manual. -
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Tahoe is a research-oriented platform for the development of numerical methods and models for the simulation of complex material behavior.
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Effective TensorFlow 2
TensorFlow tutorials and best practices
...The project focuses on helping developers write efficient, maintainable, and reliable TensorFlow code when building deep learning systems. It includes practical guidelines that explain common pitfalls in neural network training, such as numerical instability and gradient-related issues. The repository also demonstrates techniques for improving model performance, optimizing training loops, and debugging TensorFlow programs. Through examples and explanations, the project highlights how developers can structure machine learning code to improve readability and maintainability. ... -
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GroovyLab
GroovyLab: Effective MATLAB-like scientific programming in Groovy
...GroovyLab supports extensive plotting facilities and can exploit effectively a lot of powerful Java scientific libraries, as JLAPACK , Apache Common Maths , EJML , MTJ , NUMAL translation to Java , Numerical Recipes Java translation , Colt etc. Also, GroovyLab supports Computer Algebra based on the symja (http://code.google.com/p/symja/) project. GiHub site: https://github.com/sterglee/jlabgroovy -
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ClimateMachine.jl
Earth System Model that automatically learns from data
The ClimateMachine is a software package that models the evolution of the Earth system over weeks to centuries. The ClimateMachine solves three-dimensional partial differential equations for the distributions of water, momentum, energy, and tracers such as carbon in the atmosphere, oceans, and on land. The ClimateMachine will harness a wide range of Earth observations and data generated computationally to predict the evolution of Earth’s climate and features such as droughts, rainfall... -
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Mathematics
Accumulation of mathematical knowledge, matrix numerical optimization
Mathematics is a comprehensive collection of notes, resources, and references spanning a wide range of mathematical topics. The repository organizes material across pure and applied mathematics, including calculus, linear algebra, probability, statistics, and optimization. It also extends into computational and algorithmic applications of mathematics, making it a useful reference for both academic study and practical problem-solving. The goal is to provide learners, researchers, and... -
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Quantitative-Notebooks
Educational notebooks on quantitative finance, algorithmic trading
Quantitative-Notebooks is a curated set of Jupyter notebooks focused on quantitative finance, algorithmic investing, and data-driven portfolio analysis. While each individual notebook is aimed at practical finance workflows, the overall repository helps practitioners and learners use Python, pandas, and numerical libraries to build, test, and evaluate financial strategies using historical market data. The notebooks typically showcase how to perform backtesting, factor analysis, risk assessment, and other quantitative workflows in a reproducible, exploratory format. Because quantitative analysis often requires visualization, statistics, and time series processing, these notebooks also serve as templates for real financial research and strategy prototyping. ... -
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This site aims to create an Enviornment for Scientific Computing on Linux by Creating a CDROM with the software for which links are provided here, Providing easy getting started guides and Creating Numerical Libraries.
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
...It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. ... -
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smib is one of the smallest and simplest computer algebra system in the world, but simple does not mean simplistic. Using smib you can explore many branches of mathematics (e.g. number theory, algebra, calculus, numerical analysis, differential geometry, probability and stochastic calculus) and also some physics (e.g. electromagnetism and quantum mechanics).. By simple you can understand easy to program (smib is a dynamically typed language, with strong affinity to recursivity, programs are often short and powerful and maybe useful for teaching), and also easy to modify (source code is free, written in C language, and based on notions of stacks and lists). ...
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Monitor File Events v1.03
Monitoring Activities On Windows System
"Monitor File Events" is an activity sniffer on your system, it determines any change on any file or folder on your computer. Possibility to scan up to 5 different directories and their relative sub-directories with search filters for directories and files, obtaining precise targets, without messing up the list with hundreds of processes in other paths that are not interest. The selected filters determine what you are watching and thus, which events can be triggered. So what is going... -
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An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
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PRMLT
Matlab code of machine learning algorithms in book PRML
...Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry.
