Projects with this topic
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Emacs init.el configuration for python development.
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Визуализация георафических данных
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Примерпростой кластеризации k-средних (с понижением размерности)
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Praktisi Mengajar 2024 Teknik Informatika Universitas Nusa Putra
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A utility for compiling packages on remote hosts; first-aid for Gentoo laptops and old computers alike.
Matrix room: #pup․py:matrix.org
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Small container of Supysonic based on Python Alpine Linux image
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"n" dimensional input with "m" objectives example of a Pareto front with the BOSS code. In these examples we reproduce the pareto front as produced by mathlab in the link below "https://www.mathworks.com/help/gads/pareto-front-for-two-objectives.html" For 3D inputs and 3 objectives, we try to reproduce these results The difference in these methods is that here we calculate the pareto front using GP functions with an RBF kernel.
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Backend en Django - To Do Serio
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This project has the goal to backup a psql server and log files. It backups psql db with pg_dump, encrypt everything, compress in a password protected archive and can be sent to a backup server.
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A python script to easily apply uniaxial stress (along the x-axis) to graphene and run a DFT simulation using FHI-aims. After running the script, a bandstructure+DOS plot called "aimsplot.png" should be created. The bandgap should be printed to the file "bandgap.dat" The output file from FHI-aims should also contain the calculated stress, which can be used to get the Young's modulus of pristine graphene. This script was created for the course - "simulations and new materials (MTEK0024)".
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Program meant to assist Linux newbies in setting up GPU passthrough to a Windows VM, with as little hassle as possible.
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Data Augmentation scripts for the parser MaChAmp-TWG as part of my bachelor thesis titled "Data Augmentation for TWG Parsing via Syntactically Well-formed Nonsense Sentences".
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Slang Identification via Machine Learning using sklearn.
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Slang Identification via Machine Learning using sklearn.
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This website was supposed to restrict access to internet in the private network I hosted in a raspberry pi.
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