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A handy utility to create those random word slugs (e.g., generous-pink-biscuit) you see all over the place.
An expansion of the Dystrik's algorithm through the implementation of a Bresenham's algorithm.
Promise based HTTP client for the browser and node.js
Our CGPS tech website theme, using the Ghost CMS blogging platform
gcal/outlook like calendar component
WackoPicko is a vulnerable web application used to test web application vulnerability scanners.
An upload handler for Remix using Firebase Storage
✌️ A spring physics based React animation library
🐀 A link aggregator and forum for the fediverse
DroneKit-Python library for communicating with Drones via MAVLink.
Unsupervised learning (USL) techniques for topic classification on a parallel corpus. We use both K-means clustering and Latent Dirichlet Allocation (LDA).
Using a neural network for prediction of German phones in audio files (Mel-frequency cepstral coefficients as features) in Tensorflow.
Final project for Dr. Daniel de Kok's course on Deep Learning. We implement an RNN with Gated Recurrent Units in Tensorflow to achieve 95.56% accuracy on the CoNLL 2003 German dataset.
manually implemented dependency parser and N-Gram-based language model; sentiment analysis with Keras
An interactive map project for German placenames
A tool for scraping and manipulating a large database of academic researchers.
porcelluscavia / VGGSound
Forked from hche11/VGGSoundVGGSound: A Large-scale Audio-Visual Dataset
spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io
porcelluscavia / Neural-Network-Architecture-Diagrams
Forked from kennethleungty/Neural-Network-Architecture-DiagramsDiagrams for visualizing neural network architecture (Created with diagrams.net)
Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
My Master's thesis project in audio classification using PyTorch and librosa. I achieve state of the art performance on the VGG-Sound dataset with the addition of a textual embedding layer to an ex…
My Bachelor's Thesis project, which involved German speech recognition using deep neural networks with transfer learning. Uses Keras interface for Tensorflow, scikit-learn, matplotlib, librosa.