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
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Updated
Aug 25, 2020 - Python
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
Deep Learning for Computer Vision at Stanford University
This repository includes my solutions to the Machine Learning Assignments offered on coursera.
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AVS - Computation Systems Architectures - Project: Sequence code optimization (vectorization)
Thomas Wang's random number generation function implicitly parallelized & pipelined at speed of 0.6 cycles per 32bit integer.
A way to speed up gradient descent is having each feature in the same range.
Computation Systems Architectures - Project - Sequence code optimization
For the UNICAMP's discipline of Introduction to Digital Image Processing
Matlab Array Tools
Architektury výpočetních systémů - Cvičení
Architektury výpočetních systémů - Projekt - Optimalizace sekvenčního kódu
This is a teaching material aimed to demonstrate the powerfulness of the SPMD paradigm with MPI.
A python code for demonstration of Bias-Variance TradeOff concept in Machine Learning
Matrix multiplication speed comparison
Fast computation of the Boltzmann Entropy of a numerical or nominal 2-D data array.
Vectorized implementation of the image binarization algorithm of Su et al. (2010)
A Hands-On NumPy Tutorial for Data Scientists
This repository shows code of programming tasks which I completed during Machine Learning course on Coursera.
Collection of experiments to carve out the differences between two types of relational query processing engines: Vectorizing (interpretation based) engines and compiling engines.
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