An attempt to collect and use data to find a player's "Patterns of Play". These can be exploited in a match.
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Updated
Oct 15, 2023 - Jupyter Notebook
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
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.
Recurrent Neural Networks (RNNs) to classify Stack Overflow posts using PyTorch
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
IN5400 Mandatory exercise 2
Sentence Autocompletion Project with GRU based RNN using Alice in Wonderland text dataset and NYT comments dataset
My repo of assignments for the AUEB M.Sc. in Data Science (2018-2020)
Generate Captions for images using Encoder, Decoder model.
GRU-Gated Attention Model Implementation in order to train it to translate over Cap-verdian criole to English.
This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.
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