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A high-level machine learning and deep learning library for PHP
...In addition, we provide tutorials and other educational content to help you get started using ML in your projects. Our intuitive interface is quick to grasp while hiding alot of power and complexity. Write less code and iterate faster leaving the hard stuff to us. Rubix ML utilizes a versatile modular architecture that is defined by a few key abstractions and their types and interfaces. Train models in a fraction of the time by installing the optional Tensor extension powered by C. Learners such as neural networks will automatically get a performance boost.
HOOPLE is a portable collection of C++ source code, featuring thread-safe objects for collections and event processing, RPC-style plugin-based encrypted networking (CROMP / octopus), bookmark collection management utilities, and a lot of other cool stuff.
This is the project page for HOOPLE version 1, which was retired on September 25 2010. The code supposedly still builds on both Linux (with gnu gcc) and on Windows (with ms visual studio).
Most of the code from hoople1 has moved into the Feisty Meow® Concerns Ltd codebase, available at http://feistymeow.org for your enjoyment.
This is a python implementation that handles floating points correctly,there are still some bugs but I'm working on it . The point was to work around some stuff that made no sense for floats,like 0.1+0.2 == 0.3 is false.
AMMORIA (ARAB) is an object oriented programming language uses Arabic words instead of English words, to make learning programming for Arab children easy and fast, it's planned to support Urdo and Farsi too, AMMORIA has its won IDE and Visual stuff.
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x86mph is an optimized library with vector, matrix, and vertex helpers (including an own TnL) It also contains memory helpers, and other stuff such as image processing (color inverting, changing bpp) taking advantage of x86's 3DNow!, MMX, and SSE
A human-readable ISC-Licensed implementation of the LZO1X algorithm.
LZO is a compression library which is widely used around the world. The main problem with LZO is that it is absolutely not human readable.
People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed.
So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In addition, I will provide a textual description of the algorithm so that it can be easily ported to any programming language.
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