Search Results for "self-extracing"
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Showing 17 open source projects for "self-extracing"
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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MATLAB Simulink Challenge Project Hub
Lst of research and design project ideas
...The aim is to help students or educators find inspiration and guidance for projects aligning with industry trends or technical challenges. It includes encouragement of industry-relevant topics. As well as categorization by technology or domain. The content does not itself include a self-contained product or pipeline; instead it is a repository of ideas, descriptions, and links. References or links to supporting materials. Encouragement of industry-relevant topics. Maintained/endorsed by MathWorks (educational use). -
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CFDTool - CFD & OpenFOAM GUI Toolbox
CFDTool - Easy to Use Computational Fluid Dynamics (CFD) Toolbox
...Based on FEATool Multiphysics (https://www.featool.com), CFDTool is specifically designed to make advanced fluid mechanics and heat transfer simulations both easy and enjoyable. - Completely stand-alone and cross-platform self-contained toolbox - Optionally use as MATLAB Add-On toolbox - Fully integrated and easy to use MATLAB GUI - Modeling and simulation in 1D, 2D, 3D, and axisymmetric/swirl/cylindrical coordinate systems - Seamless OpenFOAM GUI and SU2 CFD solver integrations (https://www.featool.com/Easy-to-Use-OpenFOAM-GUI) - Built-in geometry and CAD tools - Automatic mesh and grid generation - Pre-defined equations and boundary conditions for: + Incompressible viscous fluid flows (Navier-Stokes equations) + Compressible, supersonic, trans-sonic, and turbulent flows + Heat conduction with conjugate heat transfer -
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mksqlite
A MATLAB(R) Mex-DLL to SQLite Databases
Did you ever want to store your MATLAB(R) data in a SQL database? Nothing large, simply a few array or strutures in a few tables. Maybe a few indicies and everything manageable with SQL commands? Then msqlite will be the right choice for you! mksqlite connects the power of MATLAB(R) with the efficiency of the SQLite database engine. (See also https://github.com/AndreasMartin72/mksqlite) -
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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... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. ... -
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Coursera Machine Learning
Coursera Machine Learning By Prof. Andrew Ng
CourseraMachineLearning is a personal collection of resources, notes, and programming exercises from Andrew Ng’s popular Machine Learning course on Coursera. It consolidates lecture references, programming tutorials, test cases, and supporting materials into one repository for easier review and practice. The project highlights fundamental machine learning concepts such as hypothesis functions, cost functions, gradient descent, bias-variance tradeoffs, and regression models. It also organizes... -
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TraceX
MatLab App for calculating fitting isotopic exchange profile data
MatLab App for calculating fitting isotopic exchange profile data. Developed for measuring self-diffusivity and effective surface exchange coefficient of ion conducting materials. Requires MatLab image processing toolbox If you use this tool for you research, please cite my PhD thesis: Cooper, S. J. Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes. (Imperial College London, 2015). @phdthesis{SJCooper2015, author = {Cooper, S. -
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nn22 Basic Neural Networks for Octave
Simple .m files, Basic Neural Networks study for Octave (or Matlab)
...The code is completely open to be modified and may suit several scenarios. The code commenting is verbose, and variables and functions do respect English formatting, so that code may be self explanatory. Messages to the screen are localized, both in English and Spanish, and it is really easy to add another language to the localization. If any further explanation is needed, the forum/discussion page may be of help :) Comments and suggestions are very welcome. -
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nail_systems_biology
NAIL is a toolset for network analysis in the life sciences
The NAIL (Network Analysis and Inference Library) project is a set of tools for solving problems in the life sciences using network (graph) approaches. NAIL includes methods for creating networks, analysing and comparing networks, and for visualising or presenting the results. These methods are designed as self-contained platform-independent components which can be called either from another program, or from a command line. Modelling biological systems as networks (graphs) is becoming a common approach in the life sciences. However, different algorithms typically use different input and output data types, are implemented using different technologies, and are demonstrated by application to different biological problems. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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WM Hyperintensities Segmentation Toolbox
Open Source White Matter Hyperintensities Segmentation Toolbox
...They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies. -
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PAMELA Schrodinger-Poisson Code
self-consistent schrodinger-poisson code for core-shell nanowires
PAMELA (Pseudospectral Analysis Method with Exchange & Local Approximations) is a self-contained suite of MATLAB codes that can calculate electronic energies, densities, wavefunctions, and band-bending diagrams within a self-consistent Schrödinger-Poisson formalism. -
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DEC routing protocol for WSN
A Deterministic Energy-efficient Clustering protocol for WSN
...In this paper, we have developed a purely deterministic model that utilizes clustering to organize the WSN. We propose a deterministic energy-efficient clustering protocol that is dynamic, distributive, self-organizing and more energy efficient than the existing protocols. It utilizes a simplified approach which minimizes computational overhead-cost to self-organize the sensor network. Our simulation result shows a better performance with respect to energy consumption, which is reflected in the network lifetime in both homogeneous and heterogeneous settings when compared with the existing protocols. ... -
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ACADO Toolkit
Toolkit for Automatic Control and Dynamic Optimization
...It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines. -
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The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
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MatForce is a compiler that translates MatLab scripts into self-contained C++ code, producing human-readable, extensible C++ sources that can be fitted to the needs of the encapsulating application.
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EveAI processes the data assuming that it has already been read by a sensor. Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.
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