Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
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Updated
Apr 26, 2021 - Jupyter Notebook
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
Weather forecasting using recurrent neural network
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
Recurrent neural network with GRUs for trigger word detection from an audio clip
Collection of my Deep Learning and Machine Learning notebooks.
Used RNN architectures to classify the respiratory sound samples into four different categories. This will in turn help detect respiratory diseases in patients.
Comparison between RNNs and Attention in Document Classification
Multiclass Multilabel prediction for stack overflow Questions using NLP
Trigger word detection is the technology that allows devices like Amazon Alexa, Google Home, Apple Siri, and Baidu DuerOS to wake up upon hearing a certain word
An attempt to collect and use data to find a player's "Patterns of Play". These can be exploited in a match.
Kaggle Competition
A deep learning project for Time Series Forecasting of bike count by using Recurrent Neural Networks and UCI Bike Sharing Dataset.
Code and data for the NLLP 2021 paper: `Multi-granular Legal topic Classification on Greek Legislation`
Recurrent Neural Networks (RNNs) to classify Stack Overflow posts using PyTorch
source code train models Machine Learning and preprocessing text using python
A simple Twitter bot which tries to mimic Donald Trump
Music Generation using Multi-Layer Gradient Recurrent Units. This involves using many-to-many type of RNN for input-output mapping.
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