Search Results for "network development platforms"
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Showing 7 open source projects for "network development platforms"
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ZeosLib
Database components for Delphi, FreePascal/Lazarus, Kylix, C++ Builder
The ZeosLib is a set of database components for MySQL, MariaDB, PostgreSQL, Interbase, Firebird, Microsoft SQL Server, SAP Adaptive Server Enterprise and Adaptive Server Anywhere (previously Sybase), Oracle, SQLite, OleDB, DuckDB and QuestDB for Delphi, FreePascal/Lazarus and C++ Builder. -
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COMTAY
Coroutines for Delphi and Free Pascal
The COMTAY coroutine manager makes it easy to create and manage coroutines in Delphi and Free Pascal. Download COMTAY at https://opensimply.org/comtay The approach implemented in COMTAY allows the use of cooperative multitasking in both procedural and class-based programming. -
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LacaK Software
LacaK's Freeware Software
Various freeware software that I created. • Easy IS - lightweight information system for manufacturing companies. • Registratúrny denník • Faktúry - invoicing software. • Penzión - software for hotels, guesthouses and hostels. • Správa úloh - task management software. • Preteky - software for race organizers. • Free Pascal - various free sources for Free Pascal compiler. More information at https://lacak.sourceforge.io/ -
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Vampyre Imaging Library
Image library for Object Pascal.
Imaging is native Object Pascal (Delphi and FPC) image loading, saving and manipulation library. It is available for several platforms and does not require any third party dynamic libraries. -
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PTCPas is a free, portable framebuffer library, written in Free Pascal. It allows low-level high-speed graphics access on multiple platforms.
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pastinn
Tinn (Tiny Neural Network) ported to Pascal
Tinn (Tiny Neural Network) is a 200 line dependency free neural network library written in C99. https://github.com/glouw/tinn This is a Pascal port of that project, compatible with Delphi and FreePascal. -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
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