Manuel Alejandro Vivas Riverol (LexCode74)

LexCode74

Geek Repo

Company:Dynamical systems Intelligence

Location:Mexico

Home Page:https://ecuacionesdiferencialesaplicaciones.com/

Twitter:@LexViv

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Manuel Alejandro Vivas Riverol's repositories

awesome-web-scraping

List of libraries, tools and APIs for web scraping and data processing. The project is moved to http://opendir.io

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aws-media-services-vod-automation

Sample code and CloudFormation scripts for automating Video on Demand workflows on AWS

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awsboto3

aws automation using python

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begin_python

Beginner's Python Course with TCLab

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Build-an-AI-Startup-with-PyTorch

This is the code for 'Build an AI Startup with Pytorch" by Siraj Raval

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DS4DS_Course

Data Science for Dynamical System Course

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dwave-ocean-sdk

Installer for D-Wave's Ocean tools

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Dynamical_Systems

Teaching materials

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GPT_Demo_app

Twilio GPT SMS Chat Bot

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mathbook

MathBook XML

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practicaMergeGit

Practica sobre solucionar conflictos de Git

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introduction-to-python-for-computational-science-and-engineering

Book: Introduction to Python for Computational Science and Engineering

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Mechanics_with_SageMath

problems in classical mechanics solved with SageMath

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ModSimPy

Text and supporting code for Modeling and Simulation in Python

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mooc2017

Código fuente y ejemplos para el curso 'Matlab y Octave para Ingenieros y Científicos' que imparte la UPM

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neural-ode-tutorial

Repository for tutorial on Neural ODEs prepared for the UCL AI Society

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neuromancer_

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

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NLSE-vector-solver

Code for modelling the Nonlinear Schrödinger Equation for optical fiber pulse propagation

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numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

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numerical-python

Source code for 'Numerical Python' by Robert Johansson

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numerical-python-second-ed

Source code for 'Numerical Python Second Edition' by Robert Johansson

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PINN-iPINN

physics-informed neural network and inverse physics-informed neural network

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PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

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privateGPT_chat

Interact with your documents using the power of GPT, 100% privately, no data leaks

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Python-DIAA-propedeutico

Notebooks para curso de Introducción a la programación con Python

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satellite-placement

Group satellites into constellations such that their average observation coverage is maximized

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signed-cookie-php

AWS Cloudfront signed cookie working demo

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Transport_Processes

Transport processes, collection of teaching materials

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wind-power-forecasting

Wind Power Forecasting using Machine Learning techniques.

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