vectorized-computation

piotte13/SIMD-Visualiser

A tool to graphically visualize SIMD code

KuiBaDB/KuiBaDB

Another OLAP database

awesome-simd/awesome-simd

A curated list of awesome SIMD frameworks, libraries and software

bedbad/justpyplot

Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop

SimonThel/fastNLfea

Fast nonlinear FEA tailored for topology optimization

anilsathyan7/ConvAcc

Accelerating convolution using numba, cupy and xnor in python

Samxx97/Fuzzy-Clustering

An Implementation of fuzzy clustering algorithms in Numpy

kmario23/PyTorch-Padawan

Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing

sahmad98/vstring

Vectroized String Helper Functions

codefortheplanet/CSTATplus

Two-point connectivity statistics computation for hydrological patterns

koeppl/packed_string

String functions using word-packing

mjungo/VISTAS

prabhupavitra/NumPy-Guide-for-Data-Science

A Hands-On NumPy Tutorial for Data Scientists

sugatagh/Implementing-Logistic-Regression-from-Scratch

While it is convenient to use advanced libraries for day-to-day modeling, it does not give insight into the details of what really happens underneath, when we run the codes. In this work, we implement a logistic regression model manually from scratch, without using any advanced library, to understand how it works.

ciusji/sql_vectorization_compilation

Collection of experiments to carve out the differences between two types of relational query processing engines: Vectorizing (interpretation based) engines and compiling engines.

mhaseebtariq/doppel-speller

An ML+NLP solution for linking misspelled titles with the true titles

nopperl/vectorized-image-binarization

Vectorized implementation of the image binarization algorithm of Su et al. (2010)

rashidch/Machine-Learning-with-Andrew-Ng-on-Coursera

This repository shows code of programming tasks which I completed during Machine Learning course on Coursera.

geoye/fast_boltzmann

Fast computation of the Boltzmann Entropy of a numerical or nominal 2-D data array.

OEmiliatanO/matrix_multiplication_comparison

Matrix multiplication speed comparison

ayushsharma-crypto/Bias-Variance-Tradeoff

A python code for demonstration of Bias-Variance TradeOff concept in Machine Learning

evarga/mpi-primer

This is a teaching material aimed to demonstrate the powerfulness of the SPMD paradigm with MPI.

givens/array_tools

Matlab Array Tools

peferragut/image-processing-mc920

For the UNICAMP's discipline of Introduction to Digital Image Processing

Victor-Martinez-Pozos/Display-Controler-LIBtft144

In this repo I improve the performance of the LIBtft144 controller using numpy and vector operations, and use it to show in real-time the image stream from my raspberry-pi camera on a SPI 144 display

xkrejc70/mit-AVS-project1

AVS - Computation Systems Architectures - Project: Sequence code optimization (vectorization)

xstupi00/Artificial-neural-network

Computation Systems Architectures - Project - Sequence code optimization

a-poliakov/discords_discovery

Поиск диссонансов временного ряда

harmim/vut-avs-labs

Architektury výpočetních systémů - Cvičení

harmim/vut-avs-project1

Architektury výpočetních systémů - Projekt - Optimalizace sekvenčního kódu

Jeffresh/Gradient-descent-feature-scaling

A way to speed up gradient descent is having each feature in the same range.

SidSin0809/AO-EB_batch_quant

Automated, reproducible quantification of acridine-orange / ethidium-bromide (AO/EB) live-dead assays: field‐by‐field, image-agnostic, and ready for high-throughput screening.

tanmayv25/Machine-Learning-Coursera

This repository includes my solutions to the Machine Learning Assignments offered on coursera.

TSunny007/CS231n

Deep Learning for Computer Vision at Stanford University

tugrul512bit/oofrng

Thomas Wang's random number generation function implicitly parallelized & pipelined at speed of 0.6 cycles per 32bit integer.