Material for GW4SHM workshop, 16/03/2022.

Overview

GW4SHM Workshop

Wednesday, 16th March 2022 (13:00 – 15:15 GMT):

The presentation will be structured as follows:

  1. FWI background and Theory
  2. Introduction to the domain specific language Devito
  3. Building FWI frameworks with Devito

For a more interactive experience, the Devito based material can be run live using Colab.

  • After navigating to the website, click on the GitHub tab.
  • Under Enter a GitHub URL or search by organisation or user enter the following: devitocodes/GW4SHM-Workshop.
  • You will then see the various notebooks from today's session.
  • After opening a notebook, uncomment the !pip install devito located at the top of each notebook and execute it (Note: You may see an error the first time you execute the cell, in this case simply execute the cell again).

Alternatively you can install Devito on your device. See instruction here.

Owner
Devito Codes
Devito Codes
Basic Utilities for PyTorch Natural Language Processing (NLP)

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A framework for cleaning Chinese dialog data

A framework for cleaning Chinese dialog data

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Extracting Summary Knowledge Graphs from Long Documents

GraphSum This repo contains the data and code for the G2G model in the paper: Extracting Summary Knowledge Graphs from Long Documents. The other basel

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NVDA, the free and open source Screen Reader for Microsoft Windows

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The guide to tackle with the Text Summarization

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PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

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LSTM model - IMDB review sentiment analysis

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Frog for Python This is a Python binding to the Natural Language Processing suite Frog. Frog is intended for Dutch and performs part-of-speech tagging

Maarten van Gompel 46 Dec 14, 2022
A Streamlit web app that generates Rick and Morty stories using GPT2.

Rick and Morty Story Generator This project uses a pre-trained GPT2 model, which was fine-tuned on Rick and Morty transcripts, to generate new stories

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Code to reproduce the results of the paper 'Towards Realistic Few-Shot Relation Extraction' (EMNLP 2021)

Realistic Few-Shot Relation Extraction This repository contains code to reproduce the results in the paper "Towards Realistic Few-Shot Relation Extrac

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Conversational-AI-ChatBot - Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users!

Conversational AI ChatBot Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users! In this project? Thi

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Fully featured implementation of Routing Transformer

Routing Transformer A fully featured implementation of Routing Transformer. The paper proposes using k-means to route similar queries / keys into the

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A fast, efficient universal vector embedding utility package.

Magnitude: a fast, simple vector embedding utility library A feature-packed Python package and vector storage file format for utilizing vector embeddi

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Training open neural machine translation models

Train Opus-MT models This package includes scripts for training NMT models using MarianNMT and OPUS data for OPUS-MT. More details are given in the Ma

Language Technology at the University of Helsinki 167 Jan 03, 2023
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

Time-aware Large Kernel (TaLK) Convolutions (Lioutas et al., 2020) This repository contains the source code, pre-trained models, as well as instructio

Vasileios Lioutas 28 Dec 07, 2022
Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Expressions.

patterns-finder Simple, Fast, Powerful and Easily extensible python package for extracting patterns from text, with over than 60 predefined Regular Ex

22 Dec 19, 2022
A Japanese tokenizer based on recurrent neural networks

Nagisa is a python module for Japanese word segmentation/POS-tagging. It is designed to be a simple and easy-to-use tool. This tool has the following

325 Jan 05, 2023
Transformation spoken text to written text

Transformation spoken text to written text This model is used for formatting raw asr text output from spoken text to written text (Eg. date, number, i

Nguyen Binh 16 Dec 28, 2022
:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

Dedupe Python Library dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on

Dedupe.io 3.6k Jan 02, 2023
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated

Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation

Diego 1 Mar 20, 2022