Web-server with the parser, connection to DBMS, and machine learning

Web-server with parser, connection to DBMS and machine learning. Team: Aisha Bazylzhanova(SE-2004), Arysbay Dastan(SE-2004) Installation To install, you need to download webserver.py, database.py and templates from the repository and save them in the same folder. Also you need to install Firefox browser and install geckodriver. Usage In database.py file you need to provide your data app.config[‘SQLALCHEMY_DATABASE_URI’] = ‘postgresql://YourUsername:[email protected]/NameOfYourDatabase’ In webServer.py file you need to provide your data

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SomaFM Plugin for Kodi

This description is a bit outdated. You can simply install this addon by browsing the official repositories from within Kodi. Installation Installation currently requires you to know where your addons folder is located. Please refer tothe Kodi Wiki article on userdata to find it. To find theaddons folder, simply replace every instance of userdata in the article with addons. Git Change into your addons folder Clone the repository into a new folder plugin.audio.somafm Done On Linux and possibly Mac OSX […]

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Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation

Introduction This is the official implementation of the paper “Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation“. Installation This repo is built using mmdetection.To install the dependencies, first clone the repository locally: git clone https://github.com/anirudh-chakravarthy/objprop.git Then, install PyTorch 1.1.0, torchvision 0.3.0, mmcv 0.2.12: conda install pytorch==1.1.0 torchvision==0.3.0 -c pytorch pip install mmcv==0.2.12 Then, install the CocoAPI for YouTube-VIS conda install cython scipy pip install git+https://github.com/youtubevos/cocoapi.git#”egg=pycocotools&subdirectory=PythonAPI”    

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Create large-scale ML-driven multiscale simulation ensembles to study the interactions

MuMMI RAS v0.1 Released: Nov 16, 2021 MuMMI RAS is the application component of the MuMMI frameworkdeveloped to create large-scale ML-driven multiscale simulation ensembles tostudy the interactions of RAS proteins and RAS-RAF protein complexes with lipidplasma membranes. MuMMI framework was developed as part of the Pilot2 project of theJoint Design of Advanced Computing Solutions for Cancerfunded jointly by the Department of Energy (DOE) and theNational Cancer Institute (NCI). The Pilot 2 project focuses on developing multiscale simulation models forunderstanding the […]

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Fayntuning code of the original CLIP into Russian

О чем репозиторий В этом репозитории представлен способ файтюнить оригинальный CLIP на новый язык Почему модель не видит женщину и откуда на картинке с текстом слон? Основные особенности: Используются оригинальные картиночные и текстовые трансформеры; Поэтому есть возможность использовать оригинальные эмбединги картинок, а тексты обучать или дообучать на требуемый язык. Что ожидалось? Для обучения трансформера русскому языку будет достаточно 3.7 млн пар картинка-текст; Будет использована вся сила исходных картиночных эмбедингов, обученных на сотнях миллионов пар картинка-текст; Сохранится скорость и качество работы […]

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Basic calculator to test my knowledge of python

Calculadora básica pra testar meus conhecimentos sobre python Olá! Pra melhor experiência, rode a script no seu terminal. Instalação, Clonagem e Acesso $ pkg upgrade $ pkg update $ pkg install git $ pkg install python $ git clone https://github.com/yScottLuc/CalcuPython $ cd CalcuPython $ python3 CalcuPython.py GitHub View Github    

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Nyx-Net: Network Fuzzing with Incremental Snapshots

Nyx-Net is fast full-VM snapshot fuzzer for complex network based targets. It’s built upon kAFL, Redqueen and Nyx. The approach is described in more detail in our paper. This repository is serving only to capture the state as described in the paper. If you want to actually use Nyx, check out the maintained code released for the Nyx framework or it’s Homepage. @misc{nyxnet, title={Nyx-Net: Network Fuzzing with Incremental Snapshots}, author={Sergej Schumilo and Cornelius Aschermann and Andrea Jemmett and Ali   […]

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