Dataset

Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme

Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning SchemeXi Yang, Wangmeng Xiang, Hui Zeng and Lei ZhangInternational Conference on Computer Vision, 2021. Dataset The dataset is hosted on Google Drive and Baidu Drive (code: 43ph). Some example scenes are shown below. The structure of the dataset is illustrated below. File Description GT.zip All ground truth sequences in RGB format LQ.zip All low quality sequences in RGB format GT_YCbCr.zip All ground truth sequences in YCbCr format LQ_YCbCr.zip All […]

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Plotting

Generative plotter art environment for Python

What is vsketch? vsketch is a Python generative art toolkit for plotters with the following focuses: Accessibility: vsketch is easy to learn and feels familiar thanks to its API strongly inspired from Processing. Minimized friction: vsketch automates every part of the creation process(project initialisation, friction-less iteration, export to plotter-ready files) through a CLI tool called vskand a tight integration with vpype. Plotter-centric: vsketch is made for plotter users, by plotter users. It’s feature set is focused on thepeculiarities of this […]

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Deep Learning

An easy-to-use generalized deep metric learning library

GeDML GeDML is an easy-to-use generalized deep metric learning library, which contains: State-of-the-art DML algorithms: We contrain 18+ losses functions and 6+ sampling strategies, and divide these algorithms into three categories (i.e., collectors, selectors, and losses). Bridge bewteen DML and SSL: We attempt to bridge the gap between deep metric learning and self-supervised learning through specially designed modules, such as collectors. Auxiliary modules to assist in building: We also encapsulates the upper interface for users to start programs quickly and […]

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BERT

Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker

GitHub – dredwardhyde/bert-ner-fine-tuning-cloud-deployment: Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker – GitHub – dredwardhyde/bert-ner-fine-tuning-cloud-deployment: Exampl…    

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Python

Graph Your Data With Python and ggplot

In this course, you’ll learn how to use ggplot in Python to create data visualizations using a grammar of graphics. A grammar of graphics is a high-level tool that allows you to create data plots in an efficient and consistent way. It abstracts most low-level details, letting you focus on creating meaningful and beautiful visualizations for your data. There are several Python packages that provide a grammar of graphics. This course focuses on plotnine since it’s one of the most […]

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Assistant

Switch predictor for Home Assistant with AppDeamon in python

WORK IN PROGRESS – CURRENTLY NOT COMPLETE AND NOT WORK This is an idea under development (when I have free time) I am Italian, sorry for any mistakes in English. No, wait. This is a program in Python that I’m making in my spare time and is currently unfinished. To try it and possibly contribute (thanks!) these are the ingredients: knowledge of Python a working instance of Home Assistant the appDeamon addon correctly installed and running My goal (and dream) […]

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Discord

DragDev Maintained Instance Of discord.py

discord.py – DragDev Flavour A modern, easy to use, feature-rich, and async ready API wrapper for Discord written in Python. The Future of discord.py Please read the gist for the future of this project. It’s been a good one. Key Features Modern Pythonic API using async and await. Proper rate limit handling. Optimised in both speed and memory. Installing Python 3.8 or higher is required $ git clone https://github.com/dragdev-studios/discord.py $ cd discord.py $ python3 -m pip install -U .[voice] or […]

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Function

An enhanced version of extractJS with even more functionality

An enhanced version of extractJS with even more functionality Discover JavaScript files directly from the webpage Customizable for discovering various types of files Just clone this repository $ git clone https://github.com/Dev-Ali/extractJS_2.0.git Move to the cloned directory $ cd extractJS_2.0 $ python3 extractJS_2.0.py Just enter the URL and see the magic happen 😉 How it works Your contributions are highly appreciated. Reach out to me on twitter: @am_xali GitHub https://github.com/Dev-Ali/extractJS_2.0    

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