Microprobe: Microbenchmark generation framework
A simple fully connected feed forward neural network written in python from scratch using numpy & optimized using numba. It is possible to have multiple hidden layers, change amount of neurons per layer & have a different activation function per layer.
Converting Mathematical Equations Like Tensorial Equations to C Programming Language. For example, in numerical relativity (NR), one can write Einstein's equations in C progrmming language.
Reimplement partial implementation of Devign, a graph neural network-based model for identifying vulnerabilities in C code. Includes tools for data preparation, Joern integration, and model training for vulnerability detection.
Dumping ground for anything I code that has no specific need for a repo, nothing more.
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