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The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections.
Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk.
Ccide reads a source program, in one of several programming languages, expands all embedded decision tables, and generates
the new, expanded source.
Ccidew processes C language programs directly. The script, ccide, uses
ccidew and m4, to process BASIC, JAVA, CC, C++, BASH, QB, VB, and EX(euphoria), source files containing embedded decision tables.
Ccide checks all conditions once and only once, avoiding side effects.
A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers.
There are three libraries in this opensource set.
- Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms.
- Monk Object Detection -...
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