Pinned Repositories
CyberWallE-propaganda-detection
Code for "CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection" (V. Blaschke, M. Korniyenko & S. Tureski, 2020)
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
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.
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.
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
porcelluscavia's Repositories
porcelluscavia/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.
porcelluscavia/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.
porcelluscavia/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
porcelluscavia/auditory-slow-fast-thesis
Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
porcelluscavia/german-placenames
An interactive map project for German placenames
porcelluscavia/learning-python-through-NLP
manually implemented dependency parser and N-Gram-based language model; sentiment analysis with Keras
porcelluscavia/ma-thesis
porcelluscavia/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.
porcelluscavia/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
porcelluscavia/porcelluscavia.github.io
My personal website/portfolio built on a template by Hashir Shoaib
porcelluscavia/prof-names-counter
A tool for scraping and manipulating a large database of academic researchers.
porcelluscavia/Reinforcement-Learning-Hockey
Teaching an agent to play hockey by implementing Dueling Deep Q Networks in PyTorch
porcelluscavia/segment-modeler-DE
Using a neural network for prediction of German phones in audio files (Mel-frequency cepstral coefficients as features) in Tensorflow.
porcelluscavia/spectrogram-inversion
spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io
porcelluscavia/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).
porcelluscavia/VGGSound
VGGSound: A Large-scale Audio-Visual Dataset
porcelluscavia/porcelluscavia.github.io-docs