postnubilaphoebus
Data Scientist @ Max Planck Institute for Biological Intelligence. Interested in machine learning, natural language processing, and computational neuroscience.
Pinned Repositories
Dial-Media-Agents
A projects that extends the DIAL framework with Media agents. The DIAL model simulates group and opinion dynamics. It features dialogues, in which agents gamble about reputation points.
aesthetic_graphs
A sideproject for aesthetic functions auch as the Arnold Tongue.
ATGWRL
A project building on the paper by https://arxiv.org/abs/1810.06640
cell_gui
A graphical user interface for annotating cells in 3d.
DailyDialogue-Parser
Parser for DailyDialogue Dataset
Jap_Speak_Recog
Student Project of the Machine Learning course by Herbert Jaeger at Groningen University. We identify speakers on the Japanese Vowels dataset using bidirectional LSTMs in combination with cubic polynomial resampling.
Lost-in-Latent-Space
Master's Thesis Project: Text generation with GANs and Autoencoders
textcnn-conv-deconv-pytorch
text convolution-deconvolution auto-encoder model in PyTorch
image-captioning
Automatic image captioning system using a Deep Learning based encoder-decoder architecture
RNN-for-Joint-NLU
Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
postnubilaphoebus's Repositories
postnubilaphoebus/aesthetic_graphs
A sideproject for aesthetic functions auch as the Arnold Tongue.
postnubilaphoebus/cell_gui
A graphical user interface for annotating cells in 3d.
postnubilaphoebus/ATGWRL
A project building on the paper by https://arxiv.org/abs/1810.06640
postnubilaphoebus/DailyDialogue-Parser
Parser for DailyDialogue Dataset
postnubilaphoebus/Jap_Speak_Recog
Student Project of the Machine Learning course by Herbert Jaeger at Groningen University. We identify speakers on the Japanese Vowels dataset using bidirectional LSTMs in combination with cubic polynomial resampling.
postnubilaphoebus/Lost-in-Latent-Space
Master's Thesis Project: Text generation with GANs and Autoencoders
postnubilaphoebus/textcnn-conv-deconv-pytorch
text convolution-deconvolution auto-encoder model in PyTorch