Notebooks em Python para Métodos Eletromagnéticos

Overview

GeoSci Labs

binder pypi License SimPEG

This is a repository of code used to power the notebooks and interactive examples for https://em.geosci.xyz and https://gpg.geosci.xyz.

The examples are based on code available in SimPEG.

Why

Interactive visualizations are a powerful way to interrogate mathematical equations. The goal of this repository is to be the home for code that can be plugged into jupyter notebooks so that we can play with the governing equations of geophysical electromagnetics.

Scope

The repository contains the python code to run the ipython-widget style apps in http://github.com/geoscixyz/geosci-labs. These are mainly plotting code and some simple analytics. More complex numerical simulations depend on SimPEG

Usage

The notebooks can be run online through Binder, or downloaded and run locally.

Binder

Binder

  1. Launch the binder by clicking on the badge above or going to: https://mybinder.org/v2/gh/geoscixyz/geosci-labs/master?filepath=notebooks%2Findex.ipynb. This can sometimes take a couple minutes, so be patient...

  2. Select the notebook of interest from the contents

  3. Run the Jupyter notebook

Binder-steps

Locally

To run them locally, you will need to have python installed, preferably through anaconda.

You can then clone this reposiroty. From a command line, run

git clone https://github.com/geoscixyz/geosci-labs.git

Then cd into geosci-labs

cd geosci-labs

To setup your software environment, we recommend you use the provided conda environment

conda env create -f environment.yml
conda activate geosci-labs

alternatively, you can install dependencies through pypi

pip install -r requirements.txt

You can then launch Jupyter

jupyter notebook

Jupyter will then launch in your web-browser.

Running the notebooks

Each cell of code can be run with shift + enter or you can run the entire notebook by selecting cell, Run All in the toolbar.

cell-run-all

For more information on running Jupyter notebooks, see the Jupyter Documentation

Using in a course

Issues

If you run into problems or bugs, please let us know by creating an issue in this repository.

For Contributors

We are glad you are interested in contributing! Please check out the contributing guide for ideas of how to get involved.

Owner
Victor Cezar Tocantins
Victor Cezar Tocantins
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

CSDI This is the github repository for the NeurIPS 2021 paper "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

106 Jan 04, 2023
A Python package for causal inference using Synthetic Controls

Synthetic Control Methods A Python package for causal inference using synthetic controls This Python package implements a class of approaches to estim

Oscar Engelbrektson 107 Dec 28, 2022
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

PyTorch code to reproduce LyDROO algorithm [1], which is an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability an

Liang HUANG 87 Dec 28, 2022
Hybrid CenterNet - Hybrid-supervised object detection / Weakly semi-supervised object detection

Hybrid-Supervised Object Detection System Object detection system trained by hybrid-supervision/weakly semi-supervision (HSOD/WSSOD): This project is

5 Dec 10, 2022
MarcoPolo is a clustering-free approach to the exploration of bimodally expressed genes along with group information in single-cell RNA-seq data

MarcoPolo is a method to discover differentially expressed genes in single-cell RNA-seq data without depending on prior clustering Overview MarcoPolo

Chanwoo Kim 13 Dec 18, 2022
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.

Introduction MASS allows you to search a time series for a subquery resulting in an array of distances. These array of distances enable you to identif

Matrix Profile Foundation 79 Dec 31, 2022
Repository for MDPGT

MD-PGT Repository for implementing and reproducing the results for the paper MDPGT: Momentum-based Decentralized Policy Gradient Tracking. Available E

Xian Yeow Lee 2 Dec 30, 2021
Code of the lileonardo team for the 2021 Emotion and Theme Recognition in Music task of MediaEval 2021

Emotion and Theme Recognition in Music The repository contains code for the submission of the lileonardo team to the 2021 Emotion and Theme Recognitio

Vincent Bour 8 Aug 02, 2022
Locally Constrained Self-Attentive Sequential Recommendation

LOCKER This is the pytorch implementation of this paper: Locally Constrained Self-Attentive Sequential Recommendation. Zhankui He, Handong Zhao, Zhe L

Zhankui (Aaron) He 8 Jul 30, 2022
NeWT: Natural World Tasks

NeWT: Natural World Tasks This repository contains resources for working with the NeWT dataset. ❗ At this time the binary tasks are not publicly avail

Visipedia 26 Oct 18, 2022
Speed-Test - You can check your intenet speed using this tool

Speed-Test Tool By Hez_X AVAILABLE ON : Termux & Kali linux & Ubuntu (Linux E

Hez-X 3 Feb 17, 2022
Train CNNs for the fruits360 data set in NTOU CS「Machine Vision」class.

CNNs fruits360 Train CNNs for the fruits360 data set in NTOU CS「Machine Vision」class. CNN on a pretrained model Build a CNN on a pretrained model, Res

Ricky Chuang 1 Mar 07, 2022
A font family with a great monospaced variant for programmers.

Fantasque Sans Mono A programming font, designed with functionality in mind, and with some wibbly-wobbly handwriting-like fuzziness that makes it unas

Jany Belluz 6.3k Jan 08, 2023
TDmatch is a Python library developed to perform matching tasks in three categories:

TDmatch TDmatch is a Python library developed to perform matching tasks in three categories: Text to Data which matches tuples of a table to text docu

Naser Ahmadi 5 Aug 11, 2022
CRF-RNN for Semantic Image Segmentation - PyTorch version

This repository contains the official PyTorch implementation of the "CRF-RNN" semantic image segmentation method, published in the ICCV 2015

Sadeep Jayasumana 170 Dec 13, 2022
Scalable Multi-Agent Reinforcement Learning

Scalable Multi-Agent Reinforcement Learning 1. Featured algorithms: Value Function Factorization with Variable Agent Sub-Teams (VAST) [1] 2. Implement

3 Aug 02, 2022
Causal Influence Detection for Improving Efficiency in Reinforcement Learning

Causal Influence Detection for Improving Efficiency in Reinforcement Learning This repository contains the code release for the paper "Causal Influenc

Autonomous Learning Group 21 Nov 29, 2022
PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation

PyGRANSO PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation Please check https://ncvx.org/PyGRANSO for detailed instructions (introd

SUN Group @ UMN 26 Nov 16, 2022
PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

PyTorch Implementation of SSTN for Hyperspectral Image Classification Paper links: SSTN published on IEEE T-GRS. Also, you can directly find the imple

Zilong Zhong 54 Dec 19, 2022
Official code for paper "Optimization for Oriented Object Detection via Representation Invariance Loss".

Optimization for Oriented Object Detection via Representation Invariance Loss By Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Xue Yang, and Yunpeng Dong. Th

ming71 56 Nov 28, 2022