Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
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Updated
Feb 1, 2021 - Python
Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
PyTorch implementation of NVIDIA WaveGlow with constant memory cost.
Network Flows Optimization - Shortest Path, Max Flow and Min Cost Flow Algorithms in Python
Normalizing flows for neuro-symbolic AI
Repository to host the app created to explore the open-source aviation flow and emission database, presented at the 11th OpenSky Symposium (https://journals.open.tudelft.nl/joas/article/view/7201). The code used to create the dataset itself can be found at: https://github.com/AeroMAPS/AeroSCOPE_dataset
This is a fork of deepsound-project/samplernn-pytorch and we mody it to increase the generation speed of sampleRNN model by using IAFs (inverse autoregressive flows)
Python framework for easy control algorithms writing with many ready to use blocks. Can be seen as a combination of Node-RED and PLC ladder programming.
(Altger. fliessen, fliessend, engl. flowing)
Smart IoT system for managing people congestion in delimited spaces.
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