MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)

Different matrix multiplication implementation and benchmarking on CPUs

Winograd Convolution Implementation using by cpp

Implementation of parallel algorithms and comparison from speed of operation with sequential implementation. Algorithms: Ant Colony Optimization Algorithm, Gauss Algorithm, Winograd Algorithm

This repository deals with algorithms that I have implemented with multithreading

winograd with strassen algorithm implementation