March 26, 2021 NLP, Tool

A comparison of mesh generators

Mesh Generator Comparison This repository creates meshes of the same domains with multiple mesh generators and compares the results. The used mesh generators are For each domain and mesh generator (if applicable), the repostory shows the followingdata: the mesh generation time the average and minimum cell quality the nummber of CG iterations for the FEM-Poisson-problem on the mesh. If you’d like to see other mesh generators, domains, or quality measures: Let me know! Disk L-shape Rectangle with refinement Quarter annulus […]

March 26, 2021 Command-line Tools, NLP

A comprehensive Reddit scraping command-line tool written in Python

URS Universal Reddit Scraper – A comprehensive Reddit scraping command-line tool written in Python. This is a comprehensive Reddit scraping tool that integrates multiple features: Scrape Reddit via PRAW (the official Python Reddit API Wrapper) Scrape Subreddits Scrape Redditors Scrape submission comments Analytical tools for scraped data Get frequencies for words that are found in submission titles, bodies, and/or comments Generate a wordcloud from scrape results Run pip install -r requirements.txt to get all project dependencies. You will need your […]

March 26, 2021 Command-line Tools, NLP

A terminal interface for exploring and arranging tabular data

VisiData A terminal interface for exploring and arranging tabular data. VisiData supports tsv, csv, sqlite, json, xlsx (Excel), hdf5, and many other formats. Platform requirements Linux, OS/X, or Windows (with WSL) Python 3.6+ additional Python modules are required for certain formats and sources Install To install the latest release from PyPi: pip3 install visidata To install the cutting edge develop branch (no warranty expressed or implied): pip3 install git+https://github.com/saulpw/[email protected] See visidata.org/install for detailed instructions for all available platforms and package […]

March 26, 2021 Command-line Tools, NLP

The next best thing after Bloomberg Terminal

GamestonkTerminal Gamestonk Terminal provides a modern Python-based integrated environment for investment research, that allows the average joe retail trader to leverage state-of-the-art Data Science and Machine Learning technologies. As a modern Python-based environment, GamestonkTerminal opens access to numerous Python data libraries in Data Science (Pandas, Numpy, Scipy, Jupyter), Machine Learning (Pytorch, Tensorflow, Sklearn, Flair), and Data Acquisition (Beautiful Soup, and numerous third-party APIs). Getting Started Install This project was originally written and tested with Python 3.6.8. It should now support […]

March 26, 2021 Computer Vision, NLP

Computational Methods for Physics & Astronomy

ComputationalMethods Computational Methods Course at UdeA. by: Sebastian Bustamante 2014/2015 Diego Restrepo ** 2017/… This course is intended for students of Astronomy and Physics at the Universidad de Antioquia and will cover some numerical methods commonly used in science and specially in astronomy. These topics will be addressed from a formal context but also keeping a practical and computational approach, illustrating many useful applications in problems of physics and astronomy. The practical component will be almost entirely developed in Python […]

March 26, 2021 Algorithms, NLP

Visualisation for sorting algorithms

A-List-of-Sorts-v2 Visualisation for sorting algorithms v2. Upped a notch from version 1. This program provides animates simple, common and popular sorting algorithms, to allow people to learn more about these algorithms and how the work. The source code also provides a great example for object orented programming with pygame. Sorting Algorithms: Bubble sort Insertion sort Merge sort Quick sort Radix sort Bogo sort Depencencies: Manual install: pip3 install pyyaml pygame To run to the program: For macos/linux: run start.sh file […]

March 26, 2021 NLP, Testing

Testbed of AI Systems Quality Management

qunomon A testbed for testing and managing AI system qualities. Requirement Installation prerequisites Support os is Windows10 Pro and macOS. Windows10 Pro 1909 later macOS v10.15 later Installation Usage 1.launch Execute the following command as root of this repository. docker-compose up 2.access web browser http://127.0.0.1:8888/ Development for windows Installation 1.PackageManager Launch powershell with administrator permission. powershell Set-ExecutionPolicy Bypass -Scope Process -Force; iex ((New-Object System.Net.WebClient).DownloadString(‘https://chocolatey.org/install.ps1’)) 2.Python Setup python virtual environment for Backend 1.go to the source you checked out and create […]

March 26, 2021 NLP, Video

Python application that can be used to generate video thumbnail for mp4

Thumbnail Generator This is a Python application that can be used to generate video thumbnail for mp4 and mkv file types. Installation You can use pip: ~$ pip3 install thumb-gen Configurations (These may change during the update) The number of screen images that should be included in the final thumbnail image Thumbnail image quality Font type in the video info panel. You can add a file path of a font file (.ttf) to this Font size in the video info […]

March 25, 2021 Bilingual and Monolingual dictionaries, NLP

Issue #123 – Integrating dictionaries to improve Neural MT

25 Mar21 Issue #123 – Integrating dictionaries to improve Neural MT Author: Dr. Jingyi Han, Machine Translation Scientist @ Iconic Introduction How to integrate external knowledge into Neural Machine Translation (NMT) properly has always been an attractive topic for both industrial practice and academic research. It can be very useful for domain adaptation and human references integration. There have been some approaches that try to incorporate bilingual dictionaries into NMT: Qi et al. (2018) and Hamalainen and Alnajjar (2019) extended […]

March 24, 2021 Uncategorized Leave a comment

Factorized layers revisited: Compressing deep networks without playing the lottery

From BiT (928 million parameters) to GPT-3 (175 billion parameters), state-of-the-art machine learning models are rapidly growing in size. With the greater expressivity and easier trainability of these models come skyrocketing training costs, deployment difficulties, and even climate impact. As a result, we’re witnessing exciting and emerging research into compressing these models to make them less expensive, small enough to store on any device, and more energy efficient. Perhaps the most popular approach to model compression is pruning, in which […]

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