Search Results for "mathematical" - Page 9
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Showing 663 open source projects for "mathematical"
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BSW Math
Mathematical tools for physics and engineer
This updated script gives a great facilities to solve many problems in physics and engineer and other fields related to basic science. This script is written in PHP code and tested with many problems. It needs wamp server to run or run in internet server we added a database to this script just create a database then import the database from the folder of database then fill connection information in include/imp.php -
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stat-cookbook
The probability and statistics cookbook
A compact “Probability and Statistics Cookbook” offering concise mathematical recipes for key statistical concepts—expectation, variance, distributions and inequalities—packaged as LaTeX and R-based executable documents. -
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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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MVSE
Estimator of climate-driven, mosquito-borne viral suitability index
...We developed the Mosquito-borne Viral Suitability Estimator (MVSE) software package for the R programming environment. The package estimates a suitability index based on a climate-driven mathematical expression for the basic reproductive number (R0). By accounting for local climatic variables, as well as viral, vector and human priors, suitability can be estimated for specific regions, hosts, vectors and viral species. MVSE v0.3 and v1.01r are available for download in this repo. UPDATE Oct/2021: note that a correction has been made to the documentation of v1.01r. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Machine-Learning-Notes
Zhou Zhihua's "Machine Learning" push notes
The Machine-Learning-Notes repository contains detailed handwritten-style study notes based on the popular machine learning textbook by Zhou Zhihua. The project focuses on deriving formulas and explaining algorithms step by step so that learners can understand the mathematical foundations behind machine learning methods. The notes span sixteen chapters that cover a wide range of topics, including model evaluation, linear models, decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimensionality reduction, and reinforcement learning. Each section explains the theoretical principles of the algorithms and walks through derivations to help readers understand why the methods work rather than simply how to use them. ... -
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SLAMBook-en
The English version of 14 lectures on visual SLAM
...The material covers both foundational theory—geometry, camera models, feature matching, pose estimation—and practical systems components such as optimization, map representation, loop closure, and real-time factors. It aims to bridge academic rigor with hands-on implementation: readers are encouraged to implement algorithms, read code, and follow along with the mathematical derivations and system design decisions. -
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Archive of Formal Proofs
A collection of machine-checkend mathematical proofs
The Archive of Formal Proofs is a collection of proof libraries, examples, and larger scientifc developments, mechanically checked in the theorem prover Isabelle. It is organized in the way of a scientific journal. Submissions are refereed. -
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Lenia
Lenia - Mathematical Life Forms
Lenia is a 2D cellular automaton with continuous space, time, and states. It produces a huge variety of interesting life forms. There are various versions available. Python, Matlab, and web (JavaScript) versions are real-time, interactive, and equipped with statistics tools. Jupyter and R versions are non-interactive and just for demonstration purposes. -
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...Furthermore, Tweety contains libraries for dealing with agents, multi-agent systems, and dialog systems for agents, as well as belief revision, preference reasoning, preference aggregation, and action languages. A series of utility libraries that deal with e.g. mathematical optimization complement the collection.
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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 developers with a consolidated source of foundational and advanced mathematical concepts. ... -
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GLPK for Java
Java language binding for the GNU Linear Programming Kit (GLPK)
GLPK for Java provides a Java language binding for the library GLPK. GLPK is a proven solver for linear and mixed integer mathematical programming problems. For Windows binaries see project GLPK for Windows (http://sourceforge.net/projects/winglpk/). -
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FancyScrollView
Scroll view component that can implement highly flexible animations
...When FancyScrollView updates the scroll position, it passes the normalized position of the viewport range to each cell. On the cell side, the cell itself controls the scrolling position and appearance based on the value of 0.0~. The sample uses Animator and mathematical formulas to implement scrolling movements.1.0. Only the number of cells needed for display will be generated and the cells will be reused. You can check the operation while actually increasing the number of data in the Demo. FancyScrollRect and FancyGridView also allow you to specify margins before the cells are reused while scrolling. ... -
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pdf2htmlEX
Convert PDF to HTML without losing text or format
pdf2htmlEX renders PDF files in HTML, utilizing modern Web technologies. It aims to provide an accurate rendering, while being optimized for Web display. Text, fonts and formats are natively preserved in HTML. Mathematical formulas, figures and images are also supported. pdf2htmlEX is also a publishing tool: almost 50 options make it flexible for many different use cases: PDF preview, book/magazine publishing, personal resume. pdf2htmlEX is optimized for modern web browsers such as Mozilla Firefox & Google Chrome. This is an era of Web. HTML, together with CSS and JavaScript, provides the flexibility allowing you to embed documents with beautiful themes, consistent bahivours and useful features. ... -
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LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
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CAELinux
Dedicated to computer-aided engineering Linux distribution
...Based on Ubuntu, it features a ready to use workstation environment for open source product development, makers and scientist with many CAD/CAM/CAE applications for mechanical design, stress analysis, heat transfer, flow simulation and CNC manufacturing / 3D printing as well as electronic design tools and a complete development environment for scientific computing & mathematical modeling. A special focus of CAELinux is to provide simplified interfaces to facilitate the use of specialized open source software while providing high performance parallel multiphysics solvers ready to use for more advanced users. Try CAELinux or carry it with you on a USB stick in a live environment or install it to turn your PC into a full fledged Ubuntu based CAE workstation. ... -
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Machine Learning cheatsheets Stanford
VIP cheatsheets for Stanford's CS 229 Machine Learning
...The repository includes summaries covering areas such as supervised learning, unsupervised learning, deep learning, and optimization techniques. In addition to machine learning algorithms, it also contains refresher materials on mathematical prerequisites including probability theory, statistics, linear algebra, and calculus. These cheat sheets are designed to serve as quick reference guides that students can use while studying or reviewing machine learning material. -
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CBMPy
PySCeS Constraint Based Modelling
...Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently translating these into the underlying mathematical structures. . CBMPy implements popular analyses such as FBA, FVA, element/charge balancing, network analysis and model editing as well as advanced methods developed for the ecosystem modelling. CBMPy supports user interaction via: - interactive console or as a library for advanced use - GUI, visual representation of the model, analysis methods - a SOAP based webAPI exposes high level functionality via web services -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
" Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . 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... -
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Jack LIRE (Linked Record)
Quantum universal object system with referencing and genetics
Jack LIRE (Linked Record) is a quantum database-backed life-long text record diary with referencing (linking) between records, and a data library for life-long keeping of files such as documents, photographs, music and more. The diary records are fully searchable. Files can be mentioned in diary records to preserve memories, document knowledge and ideas, and more. Massive numbers of diary records and files can be permanently kept. A database located on one computer can be accessed from... -
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BioModels Database is a data resource that allows biologists to store, search and retrieve published mathematical models of biological interests. Models presented are annotated and linked to relevant data resources and are available in various format
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Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
...It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph convolutional networks, and transfer learning. The repository is designed for learners who want to connect deep learning concepts with executable examples. ... -
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Machine Learning From Scratch
Bare bones NumPy implementations of machine learning models
ML-From-Scratch is an open-source machine learning project that demonstrates how to implement common machine learning algorithms using only basic Python and NumPy rather than relying on high-level frameworks. The goal of the project is to help learners understand how machine learning algorithms work internally by building them step by step from fundamental mathematical operations. The repository includes implementations of algorithms ranging from simple models such as linear regression and logistic regression to more complex techniques such as decision trees, support vector machines, clustering methods, and neural networks. Because the code avoids external machine learning libraries, it exposes the full logic behind model training, optimization, and prediction processes. ... -
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IT: Questo progetto è composto da una classe php che traduce, in modo naive, espressioni matematiche in istruzioni php. EN: This project is composed by a php class able to quickly translate mathematical expressions in php instructions.
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GSMLBook
Recipes for basic machine learning algorithms using sklearn in jupyter
...Topics include linear, multilinear, polynomial, stepwise, lasso, ridge, and logistic regression; ROC curves and measures of binary classification; nonlinear regression (including an introduction to gradient descent); classification and regression trees; random forests; neural networks; probabilistic methods (KNN, naive Bayes', QDA, LDA); dimensionality reduction with PCA; support vector machines; and clustering with K-Means, hierarchical, and DBScan. Appendices provide a review of probability and linear algebra. While some mathematical foundation is provided, it is not essential for understanding the implementations. The target audience is advanced community college and university students.
