A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
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Updated
Nov 26, 2019 - Python
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
IEEE BigData 2020
Sequential, MPI, and hybrid MPI+OpenMP Count Sketch implementations in C, benchmarked for high-performance frequency estimation on the UniTrento HPC cluster.
Repository for implementation details for Data-Science
Assignments of Data Science Class
Randomized Linear Algebra for blaze-lib
The repository contains implementation of some data science algorithms
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