Nikolaos Dionelis's Projects
Aalto Automatic Speech Recognition tools
Fast and flexible AutoML with learning guarantees.
Code and hyperparameters for the paper "Generative Adversarial Networks"
AIND Term 2 -- VUI Capstone Project
Several algorithms and data structures implemented in C++ by me (credited to others where necessary).
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Learn applied deep learning from zero to deployment using TensorFlow 1.8+
Easy high-level library for training neural networks in PyTorch
Autoregressive probabilistic modelling for speech synthesis.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
24-hour ASR
End-to-End Attention-Based Large Vocabulary Speech Recognition
Hierarchical Attention Networks for Document Classification in PyTorch
Image augmentation library in Python for machine learning.
Efficiently computes derivatives of numpy code.
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Distributed Deep Learning resources.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Matlab frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries, software and resources
Curated list of python software and packages related to scientific research in audio
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A curated list of awesome links and software libraries that are useful for robots.
Torch notebooks and slides for the Bay Area Deep Learning Summer School
Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
BeamformIt acoustic beamforming software
Bayesian spEEch Recognizer