Nikolaos Dionelis's repositories
attention-lvcsr
End-to-End Attention-Based Large Vocabulary Speech Recognition
BeamformIt
BeamformIt acoustic beamforming software
dnn-speech
This ist the repository for the term project Speech Recognition using Deep Neural Networks for the course ELEC-E5510-Speech Recognition
kaggle-classification
A compiled list of kaggle competitions and their winning solutions for classification problems.
pli-toolbox
A MATLAB Toolbox for Probabilistic Learning and Inference
py-audio-analysis
Python audio analysis modules to view frequency and amplitude data from an audio file
RecursiveNN
Tensorflow implementation of Recursive Neural Networks using LSTM units
RIR-Generator
Generating room impulse responses
bentobox
Bespoke Network Toolbox, a simple yet flexible Matlab-based toolbox for building custom deep networks.
convnet_transfer
Code for paper "How transferable are features in deep neural networks?"
currennt-1
CURRENNT -- CUDA-enabled machine learning library for recurrent neural network
Deep-Semi-NMF
Theano-based implementation of Deep Semi-NMF.
DOC-Toolbox
Dynamic Ordinal Classification Toolbox (in Matlab)
Floating_Point_Library-JHU
VHDL for basic floating-point operations.
layered
Clean implementation of feed forward neural networks
LearnSentiment
Code and resources for Python LearnUp session on Sentiment Analysis
medal
Matlab Environment for Deep Architecture Learning
phd-thesis
Repository of my thesis "Understanding Random Forests"
pytenn2014_tutorial
PyTennessee 2014: Statistical Data Analysis in Python
RNN-EM
Recurrent Neural Network with External Memory in Keras
rnn-speech-denoising
Recurrent neural network training for noise reduction in robust automatic speech recognition
Sticky-HDPHMM-demo
Sticky hierarchical Dirichlet process hidden Markov model for time series denoising
theano_exercises
Exercises for my tutorials on Theano
theano_pyglm
Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.