Nikolaos Passalis

dain. Deep Adaptive Input Normalization for Time Series Forecasting

probabilistic_kt. Probabilistic Knowledge Transfer for Deep Neural Networks

sef. A Python Library for Similarity-based Dimensionality Reduction

cbof. Bag-of-Features Pooling for Deep Convolutional Neural Networks

keras_meetup. Deep Learning Made Easy with Keras (Thessaloniki Machine Learning Meetup)

pkth. Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method

arduino-tdcs. tDCS using arduino

rl_camera_control. Deep Reinforcement Learning for Camera Control

keras_cbof. Keras implementation of the BoF-based pooling for Deep CNNs

chelo. Chemical Engineering Dataset Loader

bof_eeg. Using Bag-of-Features to classify EEG time-series data

intro_rl_meetup. Reinforcement Learning: All you need to know (Thessaloniki Machine Learning Meetup)

qsmi. Quadratic Spherical Mutual Information for Deep Supervised Image Hashing

edge_tpu_meetup. Simple examples on how to use Edge TPU for varioust tasks

neural-bof. Neural Bag-of-Features method implemented using Theano

drone_frontal_rl. Deep Reinforcement Learning for Frontal View Person Shooting

eo-bow. Python implementation of EO-BoW method

finbof. Implementation of the Temporal Logistic Neural BoF method

messing_deep_ir. Messing with extracting deep representations for retrieval

ML_in_Finance. Machine Learning in Financial News Analysis

photonic_test. photonic_test

boew. Python implementation of the Bag-of-Embedded-Words method

hypersphere_imprinting. Hypersphere-based Weight Imprinting for Few-shot Learning on Embedded Devices