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This may not be the best deep learning framework, but it is a deep learning framework. Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.
With the help of the ProgramNet the user can develop plug-ins(called units) which can be connected with other units forming a net. The net has a form of a flow diagram. The resulted net can be executed in the ProgramNet for testing purposes or independently in the target platform as a final release. In order to execute a net the ProgramNet uses the kernel. The kernel executes automatically each unit in a separate thread and manages the data exchange between the units.
An inversion of control mechanism for C++. cpp-resolver takes advantage of the strengths of C++ to check the resolution of dependencies at link time, while promoting proper separation of concerns.
CppUtx is a unit test framework for C++ based on the article `Cpp Utx Overview` written by Robert DiFalco and some parts of CxxTest. It depends on the standard and the boost library.
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