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This is a python implementation of parallel computation of stochastic gradient descent. This is approach is called Hogwild! based on the following research paper "A Lock-Free Approach to Parallelizing Stochastic Gradient Descent"

Building a pipelined processor for CprE 381, micro architecture course. Includes all components, from basic gates to alu's in vdhl.

Fork of buildroot

https://github.com/buildroot/buildroot

Python application for taking VNA measurements with one port VNA.

tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api