Backend code to use MCPI's python API to make infinite worlds with custom generation
Does not save player-placed blocks!
Generation is still slow, but it does work and can be changed
Documentation to make custom generation is inside the file.
Demo requires perlin-noise to be installed.
Cross-Quality Labeled Faces in the Wild (XQLFW) Here, we release the database, evaluation protocol and code for the following paper: Cross Quality LFW
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igel A delightful machine learning tool that allows you to train/fit, test and use models without writing code Note I'm also working on a GUI desktop
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PG2Net PG2Net:Personalized and Group Preference Guided Network for Next Place Prediction Datasets Experiment results on two Foursquare check-in datase
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