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
Used RNN architectures to classify the respiratory sound samples into four different categories. This will in turn help detect respiratory diseases in patients.
Collection of my Deep Learning and Machine Learning notebooks.
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.
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`
Kaggle Competition
Seq2Seq model that restores punctuation on English input text.
🤖 🔠 Making the vaccine sentiment classifier using tweets as datasets with the help of Pytorch Neural Networks and Glove word embeddings. Using both feed-forward nets and bidirectional stacked RNNs.
A machine learning project for detecting hand gestures for Smart TVs using CNN and RNN
source code train models Machine Learning and preprocessing text using python
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