Search Results for "processing" - Page 3
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Showing 59 open source projects for "processing"
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Repair-CRMAll-In-One Solution with an Online Booking portal for automating scheduling & dispatching to ditch paperwork and improve the productivity of your technicians!
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LEA is a lightweight eyetracking algorithm library (hence the name) written in and for Java. LEA is able to track eye movements with an ordinary webcam and returns relative movements (up, down, ...). It is also able to compensate for slight head motions.
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JDBCSupport is a light-weight framework for database interaction needs in Java applications. Perfectly suited for small to mid-sized projects JDBCSupport helps you getting your database interaction in order without engaging other heavy frameworks.
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Easy Args java command line processing API is designed using annotations and reflection to greatly simplify the tasks involved in argument processing, including required argument detection, automatic type conversion, and the generation of usage help.
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Free and Open Source HR SoftwareGive your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
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this is a small JSP tag library which allows you to create PDF documents within your JSPs. All you need to do is add the jar file to your lib folder under WEB-INF and the tld file in a tld folder under WEB-INF and you are ready to use the tags.
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iText Programming Tutorials. Example code and detail explanation on how to generate Adobe PDF document with iText API. Example of AcroForm, bookmark, anchor, insert images, generate PDF with Java App, JSP or Servlet, create PDF table and etc.
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The Umber project provides simple, flexible, "earthy" Java tool libraries for developers. The tools supplement common tasks like XML handling, data processing, and PDF generation, but without the complex and arcane APIs of most modern implementations.
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A neural networks framework for solving problems and processing data using neural networks of various descriptions.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
