Author: Deep Learner

Markdown

A markdown extension for converting Leiden+ epigraphic text to TEI XML/HTML

$ pip install leidenmark A Python Markdown extension for converting Leiden+ epigraphic text to TEI XML/HTML. Inspired by the Brill plain text (BPT) format that aims to incorporate Leiden+ into a Markdown-based syntax. >>> from leidenmark import leiden_plus >>> content = “”” “”” >>> leiden_plus(content, indent=True) The output of the above lines is the following XML snippet: Lorem ipsum dolor sit amet, conc etur adipiscing ut labore et dol ore magna    

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Testing

Virt Test Provider for qemu and other related virtualization backends

QEMU test provider for virt-test This is the official [1] test provider for the following subtest types: QEMU Generic (Virtualization backend agnostic) OpenVSwitch Really quick start guide Fork this repo on github Create a new topic branch for your work Create a new test provider file in your virt test repo, like: cp io-github-autotest-qemu.ini myprovider.ini [provider]uri: file:///home/foo/Code/tp-qemu[generic]subdir: generic/[qemu]subdir: qemu/[openvswitch]subdir: openvswitch/ You can optionally delete temporarily the io-github-autotest-qemu.ini file, just so you don’t have test conflicts. Then you can develop your […]

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FTP

FTP Anonymous Login in python

FTPAnon FTP Anonymous Login Install git clone https://github.com/SiThuTuntimehacker/FTPAnon cd FTPAnon bash install.sh access ftp sever ” ftpaccess.txt “ Usage , ./ftpanon.py (ip or host) #Happy Hacking #Page! #https://www.facebook.com/termux.myanmar.user/ GitHub https://github.com/SiThuTuntimehacker/FTPAnon    

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Bot

A Bot to Track Kernel Upstreams from kernel.org and Post it on Telegram Channel

Channel Kernel Tracker is the channel where the bot will be sending the updates in. This is a Telegram Bot to Track Kernel Upstreams kernel.org and send it to a telegram channel specified. I used BeautifulSoup to scrape the data from the kernel.org website and telegram http api to send the message to the channel. Configuration Get Bot API Key from @BotFather Fill the values in vars_sample.env and rename it into vars.env. And run the bot by running:- python3 -m […]

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Text-to-Image

Text to Image Generation with Semantic-Spatial Aware GAN in python

text2image This repository includes the implementation for Text to Image Generation with Semantic-Spatial Aware GAN This repo is not completely. Network Structure The structure of the spatial-semantic aware convolutional network (SSACN) is shown as below Requirements python 3.6+ pytorch 1.0+ numpy matplotlib opencv Or install full requirements by running: pip install -r requirements.txt TODO [x] instruction to prepare dataset [ ] remove all unnecessary files [x] add link to download our pre-trained model [ ] clean code including comments [ […]

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Wrapper

Unofficial Python API Wrapper of 1337x

1337x This is the unofficial API of 1337x. It supports all proxies of 1337x and almost all functions of 1337x. You can search, get trending, top and popular torrents. Furthermore, you can browse torrents of a certain category. It also supports filtering on result by category, supports sorting and caching. Installation Start guide Quick Examples 1. Searching torrents >>> from py1337x import py1337x # Using 1337x.tw and saving the cache in Desktop which expires after 500 seconds >>> torrents = […]

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Bot

A telegram bot that allows you to copy folder/team drive to team drives

Clonebot – Heroku version CloneBot is a telegram bot that allows you to copy folder/team drive to team drives. One of the main advantage of this bot is that you can host it to Heroku for free. ✅ Advantages Use server side copy Bypass the 750Gb a day limit thanks to Service accounts Duplicate team drive Copy public folders & files to team drives Host it to heroku ❌ Drawbacks Does not support files upload (only copy) You cannot copy […]

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Dataset

Data pipeline architecture for onboarding public datasets to Datasets for Google Cloud

Public Datasets Pipelines Cloud-native, data pipeline architecture for onboarding public datasets to Datasets for Google Cloud. We use Pipenv to make environment setup more deterministic and uniform across different machines. If you haven’t done so, install Pipenv using the instructions found here. Now with Pipenv installed, run the following command: pipenv install –ignore-pipfile –dev This uses the Pipfile.lock found in the project root and installs all the development dependencies. Finally, initialize the Airflow database: pipenv run airflow initdb Configuring, generating, […]

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Network

Recurrent Multi-view Alignment Network for Unsupervised Surface Registration

RMA-Net This repo is the implementation of the paper: Recurrent Multi-view Alignment Network for Unsupervised Surface Registration (CVPR 2021). Paper address: https://arxiv.org/abs/2011.12104 Project webpage: https://wanquanf.github.io/RMA-Net.html Prerequisite Installation The code has been tested with Python3.8, PyTorch 1.6 and Cuda 10.2: conda create –name rmanet conda activate rmanet conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=10.2 -c pytorch conda install -c conda-forge igl Other requirements include: eigen3, Openmesh and MeshlabServer. Build the cuda extension: python build_cuda.py Usage Pre-trained Models Download the pre-trained models and put […]

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Transformer

A look-ahead multi-entity Transformer for modeling coordinated agents in python

baller2vec++ This is the repository for the paper: Michael A. Alcorn and Anh Nguyen. baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents. arXiv. 2021. To learn statistically dependent agent trajectories, baller2vec++ uses a specially designed self-attention mask to simultaneously process three different sets of features vectors in a single Transformer. The three sets of feature vectors consist of location feature vectors like those found in baller2vec, look-ahead trajectory feature vectors, and starting location feature vectors. This design allows the […]

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