Author: Deep Learner

Bot

A simple Discord Music Bot built with discord.py

Radio-Id Bot (Discord Voice Bot) Radio-id-bot (Radio Indonesia) is a simple Discord Music Bot built with discord.py to play a radio from some Indonesian radio-station Getting Started Invite this bot to your server with this link ![link](https://github.githubassets.com/images/icons/emoji/unicode/1f517.png =20×20) Commands Note: The default prefix is !radio !radio help List all available commands !radio ping Check bot discord latency !radio join Join to desired channel, if empty default to Author voice channel !radio listList all available radio stations !radio play Join/move to […]

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Management System

An online examination system that offers automatic grading with python

College Graduation project , REST API backend examify-io is an online examination system that offers automatic grading , exam statistics , proctoring and programming tests , multiple user roles ( Examiner , Supervisor , Student ) Getting Started Installing Dependencies Python Follow instructions to install the latest version of python for your platform in the python docs Virtual Enviornment I recommend working within a virtual environment whenever using Python for projects. This keeps your dependencies for each project separate and […]

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Scripts

A toy compiler that can convert Python scripts to pickle bytecode

Pickora A small compiler that can convert Python scripts to pickle bytecode. Requirements No third-party modules are required. Usage usage: pickora.py [-h] [-d] [-r] [-o OUTPUT] file A toy compiler that can convert Python scripts to pickle bytecode. positional arguments: file the Python script to compile optional arguments: -h, –help show this help message and exit -d, –dis disassamble compiled pickle bytecode -r, –eval, –run run the pickle bytecode -o OUTPUT, –output OUTPUT Write compiled pickle to file For exmple, […]

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Json

Import Python modules from dicts and JSON formatted documents

Paker Paker is module for importing Python packages/modules from dictionaries and JSON formatted documents. It was inspired by httpimporter. Installation From PyPI pip install paker From source git clone https://github.com/desty2k/paker.git cd paker pip install . Usage In Python script You can import Python modules directly from string, dict or bytes (without disk IO). import paker import logging MODULE = {“somemodule”: {“type”: “module”, “code”: “fun = lambda x: x**2”}} logging.basicConfig(level=logging.NOTSET) if __name__ == ‘__main__’: with paker.loads(MODULE) as loader: # somemodule will […]

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HTTP

Module for remote in-memory Python package/module loading through HTTP/S

httpimport Remote, in-memory Python package/module importing through HTTP/S A feature that Python2/3 misses and has become popular in other languages is the remote loading of packages/modules. httpimport lets Python2/3 packages and modules to be imported directly in Python interpreter’s process memory, through remote URIs, and more… Examples Load a simple package/module through HTTP/S >>> with httpimport.remote_repo([‘package1′,’package2′,’package3’], ‘http://my-codes.example.com/python_packages’): … import package1 … Load directly from a GitHub/BitBucket/GitLab repo Load a python file from a github-gist (using this gist): import httpimport url […]

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Download

Python script to automatically download from Zippyshare

Zippyshare downloader and Links Extractor Python script to automatically download from Zippyshare using Selenium package and Internet Download Manager. Download IDM from here for downloading multiple files. Run the main.py script after checking the Requirements preferrably in a virtual env. See features for usage examples. The Links will be saved in a text file which can then be imported to idm from: Tasks>Import>from text file Other option is set the START_DOWNLOADING variable to 1 in the config file which will […]

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Maps

A ninja Python package behind rgee, rgeeExtra and eemont

A ninja Python package behind rgee, rgeeExtra and eemont. Google Earth Engine is a cloud-based service for geospatial processing of vector and raster data. The Earth Engine platform has a JavaScript and a Python API with different methods to process geospatial objects. Google Earth Engine also provides a HUGE PETABYTE-SCALE CATALOG of raster and vector data that users can process online (e.g. Landsat Missions Image Collections, Sentinel Missions Image Collections, MODIS Products Image Collections, World Database of Protected Areas, etc.). […]

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Command-line Tools

view RedFlagDeals.com from the command line

RFD This is a CLI utility that allows you to view RedFlagDeals.com on the command line. Motivation It is often faster to use a CLI than to load up a web page and navigate web elements. This tool can search for deals and sort them based on score and views. It is also able to load entire threads (without pagination) for additional analysis. Installation :information_source: python2 may still work but it is no longer supported. python3 -m pip install –user […]

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 85: The Incredibility of MT Evaluation

This week, I will comment on a paper that quantifies and exactly measures the dimensions of the elephant in the room of machine translation: the lack of empirical support of claims in research papers on machine translation. The title of the paper is Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers, it has awill appear at this year’s ACL.uthors from NICT in Japan and was awarded as an oustanding paper ACL 2021. The authors manually annotated an […]

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NLP

Hugging Face – Issue 10 – Jun 15th 2021

Events & Talks 📗Chapter 3: Fine-tuning a pretrained model This chapter will teach you all about training NLP models. Two versions are available; one using PyTorch, showing the Trainer API and the Hugging Face Accelerate library; and the other one using TensorFlow, showing how to leverage NLP models using Keras. Join either live session to cover Chapter 3 with us! Chapter 3 — PyTorch, with Lewis (Twitter/LinkedIn): Wednesday, June 30th (8:00-9:00 UTC) Chapter 3 — PyTorch,    

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