For the UNICAMP's discipline of Introduction to Digital Image Processing
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Updated
May 22, 2024 - Python
For the UNICAMP's discipline of Introduction to Digital Image Processing
A curated list of awesome SIMD frameworks, libraries and software
This is a teaching material aimed to demonstrate the powerfulness of the SPMD paradigm with MPI.
Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
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 tool to graphically visualize SIMD code
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.
Matrix multiplication speed comparison
An ML+NLP solution for linking misspelled titles with the true titles
Fast nonlinear FEA tailored for topology optimization
Thomas Wang's random number generation function implicitly parallelized & pipelined at speed of 0.6 cycles per 32bit integer.
AVS - Computation Systems Architectures - Project: Sequence code optimization (vectorization)
Another OLAP database
Computation Systems Architectures - Project - Sequence code optimization
An Implementation of fuzzy clustering algorithms in Numpy
Collection of experiments to carve out the differences between two types of relational query processing engines: Vectorizing (interpretation based) engines and compiling engines.
A python code for demonstration of Bias-Variance TradeOff concept in Machine Learning
Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing
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