Edson Porto da Silva (edsonportosilva)

edsonportosilva

Geek Repo

Company:UFCG

Location:Campina Grande (PB)

Home Page:https://scholar.google.com.br/citations?user=GhsC1FUAAAAJ

Twitter:@EdsonPSilva

Github PK Tool:Github PK Tool

Edson Porto da Silva's repositories

OptiCommPy

Simulate optical communications systems with Python.

Language:PythonLicense:GPL-3.0Stargazers:118Issues:7Issues:12

OpticalCommunications

Simulation code to support the lectures of the course of Optical Communications at the Electrical Engineering Department of the Federal University of Campina Grande (UFCG)

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:36Issues:2Issues:0

ElectricCircuits

Jupyter notebooks and Python code to support the lectures of the Electric Circuits I course at the Electrical Engineering Department of the Federal University of Campina Grande (UFCG).

Language:Jupyter NotebookLicense:MITStargazers:33Issues:2Issues:0

AdaptiveSignalProcessing

Repository with material used in the Adaptive Signal Processing course (PPgEE-UFCG).

Language:Jupyter NotebookLicense:CC0-1.0Stargazers:8Issues:0Issues:0

LPC

Repositório com material da disciplina de Laboratório de Princípios de Comunicações

Language:Jupyter NotebookStargazers:7Issues:1Issues:0

CoherentOptics

Repositório destinado aos materiais, códigos e notas de estudo sobre sistemas de comunicações ópticas coerentes.

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commplax

A Python DSP framework for optical communications, accelerated in CPU/GPU, differentiate, vectorize, and more, powered by JAX.

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SistemasDeComunicacoes

Repositório contendo material utilizado nas aulas da disciplina Sistemas de Comunicações (DEE - UFCG).

Language:Jupyter NotebookStargazers:2Issues:1Issues:0

claude

End-to-end learning of optical communication systems

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

CommPy

Digital Communication with Python

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:0Issues:0

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Language:Jupyter NotebookLicense:AGPL-3.0Stargazers:1Issues:0Issues:0

pyldpc

Creation of LDPC codes & simulation of coding and decoding binary data. Applications to sound and image files.

Language:PythonLicense:BSD-3-ClauseStargazers:1Issues:0Issues:0

QAMpy

QAMpy is a DSP chain for the simulation and equalisation of optical communications signals

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:0Issues:0

SciencePlots

Matplotlib styles for scientific plotting

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sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

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Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

TDI

Material de apoio e códigos de simulação utilizados nas aulas da disciplina Transmissão Digital da Informação (TDI) do curso de Engenharia Elétrica da Universidade Federal de Campina Grande (UFCG).

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0

covid19_inference

Bayesian python toolbox for inference and forecast of the spread of the Coronavirus

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

gnuradio

GNU Radio

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manim

A community-maintained Python framework for creating mathematical animations.

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nbdev

Create delightful software with Jupyter Notebooks

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PhySO

Physical Symbolic Optimization

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pints

Probabilistic Inference on Noisy Time Series

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pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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PySpice

Simulate electronic circuit using Python and the Ngspice / Xyce simulators

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PyTTa

Python in Technical Acoustics and Vibration

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scholarly

Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!

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