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This repository contains code and audio results from my 2nd semester thesis, Birdsong Generation with Generative Adversarial Networks
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Basis for a number of papers (ABMT 2018, TRB 2019) from @shoerl and @balacm on discrete mode choice in MATSim
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This project is part of the course "Science in techno-socio-economic systems - ETH" and is an epidemic datathon that aims to make prediction about the recent Coronavirus pandemic.
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This repo replicates the results in the paper "Micrometer-sized droplets from liquid helium jets at low stagnation pressures"
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This project is to create a script to help users estimate the computing resources required for AlphaFold jobs and automatically output a run script ready to be submitted.
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Stitch images using SuperGlue features instead of mouse-clicked points. Compute the homography through RANSAC or MSAC. Stitch more than two images using mouse-clicked points. Handle the seams. {SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)}
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mferrari / Xcompact3d_DPU
BSD 3-Clause "New" or "Revised" LicenseUpdated -
This repository contains code to analyze LiP-MS data in the context of protein structures. It requires that you have analyzed your MS data before, and that you have a csv file with at least UniProt IDs, peptide sequences and pvalues.
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From a 'root' Wikipedia article, a tree is constructed, where the child nodes are random subset of the articles linked in the parent node article. Used to generate datasets of varying size and similarity to the root article for NLG models.
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