Deep Learning, NLP, NMT, AI, ML
GitHub – dothq/browser: 🌍 Take back your privacy with Dot Browser, the privacy-conscious web browser that protects you from being tracked and monitored online. 🌍 Take back your privacy with Dot Browser, the privacy-conscious web browser that protects you from being tracked and monitored online. – GitHub – dothq/browser: 🌍 Take back your privacy with Dot B…
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Overview django-templated-email is oriented towards sending templated emails. The library supports template inheritance, adding cc’d and bcc’d recipients, configurable template naming and location. The send_templated_email method can be thought of as the render_to_response shortcut for email. Make sure you are reading the correct documentation: develop branch: https://github.com/vintasoftware/django-templated-email/blob/develop/README.rst stable pypi/master: https://github.com/vintasoftware/django-templated-email/blob/master/README.rst Requirements Python (3.6, 3.7, 3.8, 3.9) Django (2.2, 3.1, 3.2) We highly recommend and only officially support the latest patch release of each Python and Django series. Getting going – […]
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LibFewShot Make few-shot learning easy. Supported Methods Quick Installnation Please refer to install.md(安装) for installation. Full tutorials can be found at document(中文文档). Contributing Feel free to contribute any kind of function or enhancement, here the coding style follows PEP8. Please refer to contributing.md(贡献代码) for the contributing guideline. License This project is licensed under the MIT License. See LICENSE for more details Acknowledgement LibFewShot is an open source project designed to help few shot learning researchers quickly understand the classic methods […]
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Python has three Boolean operators, or logical operators: and, or, and not. You can use them to check if certain conditions are met before deciding the execution path your programs will follow. In this tutorial, you’ll learn about the and operator and how to use it in your code. You’ll also code a few practical examples that will help you understand how to use the and operator to approach different problems in a Pythonic way. Even if you don’t use […]
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A multilingual version of MS MARCO passage ranking dataset This repository presents a neural machine translation-based method for translating the MS MARCO passage ranking dataset. The code available here is the same used in our paper mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset. Translated Datasets As described in our work, we made available 8 translated versions of MS MARCO passage ranking dataset. The translated passages collection and the queries set (training and validation) are available at: Released […]
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Users and logs provide clues. Sentry provides answers. Sentry is a service that helps you monitor and fix crashes in realtime. The server is in Python, but it contains a full API for sending events from any language, in any application. Official Sentry SDKs GitHub https://github.com/getsentry/sentry
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spyndex Awesome Spectral Indices in Python. The Awesome Spectral Indices is a standardized ready-to-use curated list of spectral indices that can be used as expressions for computing spectral indices in remote sensing applications. The list was born initially to supply spectralindices for Google Earth Engine through eemont and spectral, but given the necessity to compute spectral indices for other object classes outside the EarthEngine ecosystem, a new package was required. Spyndex is a python package that uses the spectral indices […]
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A statistics-duelling deck generator using data from wikipedia. Trop Tumps chooses random categories from dbpedia.org and turns them into (mostly-useless) printable decks of cards representing things from that category, complete with exciting statistics. Installation Note: Trop Tumps requires Python 3.6+ The simplest way to install Trop Tumps is using pip. With Python and pip installed, Trop Tumps can be installed from the Python Package Index with: pip install troptumps or directly from the source repository with: pip install git+https://github.com/Frimkron/troptumps#egg=troptumps Alternatively […]
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Summary A Python library for extract property from data. Installation Installation: pip pip install DataProperty Installation: conda conda install -c conda-forge dataproperty Installation: apt sudo add-apt-repository ppa:thombashi/ppa sudo apt update sudo apt install python3-dataproperty Usage >>> from dataproperty import DataProperty >>> DataProperty(-1.1) data=-1.1, type=REAL_NUMBER, align=right, ascii_width=4, int_digits=1, decimal_places=1, extra_len=1 >>> from dataproperty import DataProperty >>> DataProperty(123456789) data=123456789, type=INTEGER, align=right, ascii_width=9, int_digits=9, decimal_places=0, extra_len=0 >>> from dataproperty import DataProperty >>> DataProperty(“sample string”) data=sample string, type=STRING, align=left, length=13, ascii_width=13, extra_len=0 >>> from […]
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