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Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative...
Unfortunately this project has been suspended. If you wish to continue its development on your own, please feel free to contact me.
UnPyc is a tool for disassembling, analyzing and decompiling Python's *.pyc and *.pyo files. UnPyc supports Python 2.5, 2.6.
LOG4PLSQL is a PLSQL framework for logging in all PLSQL code
this project was born from the log4J spirit (and use it). You have the possibility to log apart from transaction and use all LOG4J feature.
An IDE project in D for everybody. Basic features will be Project management/building/compiling,syntax highlighting,code completion,local bugtracking,Debugger,Smart/Fast code navigation,on type syntax checking,cvs/subVersion,Refractoring,plugin support.
It's a modern take on desktop management that can be scaled as per organizational needs.
Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
The GDB (GNU debugger) RSP (remote serial protocol) allows remote debugging of embedded software. This project offers sourcecode of monitors so the developer only needs to burn flash EPROMs once, then use serial communication to download/debug.