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aclc4

IoT friendly arithmetic compression and encryption

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-java

Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-julia

Julia implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algoritmos

Algoritmos e Programação de Computadores

analyzingneuraltimeseries

Code for ANTS book (Cohen, 2012, MIT Press)

ardupi-ecg

Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.

arithmetic_coding

Arithmetic Coding for Data Compression

arrayfire

ArrayFire: a general purpose GPU library.

asymmetricnumeralsystemstoolkit

Testing various methods for choosing tANS entropy coding automata

auth-ais

PoC for AIS broadcast authentication based on TESLA

azure-iot-middleware-freertos-samples

This repo has samples for dev kits using the Azure IoT middleware for FreeRTOS

azure-machine-learning-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

basys-3-hw

basys3

behemoth-rank-coding

Fast and Strong Burrows Wheeler Model

blender-addon

Blender Addon to render light fields with depth and disparity maps

classification-of-autism-spectrum-disorder

Machine Leaning Approaches for Classification of Children with Autism Spectrum Disorder

covid19_spread

Modeling the spread of COVID-19

csiv

Codificação e Compressão de Sinais, Imagens e Vídeo

cvxpy

A Python-embedded modeling language for convex optimization problems.

dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

ddsp

DDSP: Differentiable Digital Signal Processing

deep-image-prior

Image restoration with neural networks but without learning.

deepfovea

Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos

dtcwt

Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB

evaluation-toolkit

Toolkit to compute metric scores, create figures, and validate submissions