porcelluscavia Goto Github PK

audio-model

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 existing dual-stream CNN framework.

auditory-slow-fast-thesis

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

german-placenames

An interactive map project for German placenames

learning-python-through-nlp

manually implemented dependency parser and N-Gram-based language model; sentiment analysis with Keras

ma-thesis

named-entity-recognition

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.

neural-network-architecture-diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

porcelluscavia.github.io

My personal website/portfolio built on a template by Hashir Shoaib

porcelluscavia.github.io-docs

prof-names-counter

A tool for scraping and manipulating a large database of academic researchers.

reinforcement-learning-hockey

Teaching an agent to play hockey by implementing Dueling Deep Q Networks in PyTorch

segment-modeler-de

Using a neural network for prediction of German phones in audio files (Mel-frequency cepstral coefficients as features) in Tensorflow.

spectrogram-inversion

spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io

speechrecognition

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.

topic-classification-lda

Unsupervised learning (USL) techniques for topic classification on a parallel corpus. We use both K-means clustering and Latent Dirichlet Allocation (LDA).

vectors-webtool

Companion web app for "ViSpa (Vision Spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation" (Guenther, F., Marelli, M., Tureski, S., & Petilli, M. A. ). A little webtool (at http://vispa.fritzguenther.de) for comparing image and word vectors, based on the Snaut website by Pawel Mandera

vggsound

VGGSound: A Large-scale Audio-Visual Dataset