Examples from scratch using PyTorch

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

source code train models Machine Learning and preprocessing text using python

Repo for Deep learning approach to Patient Case Similarity

Siamese Manhattan Bi-GRU for semantic similarity between sentences

Multiclass Multilabel prediction for stack overflow Questions using NLP

Kaggle Competition

Collection of my Deep Learning and Machine Learning notebooks.

IN5400 Mandatory exercise 2

Weather forecasting using recurrent neural network

My repo of assignments for the AUEB M.Sc. in Data Science (2018-2020)

Generate Captions for images using Encoder, Decoder model.

A deep learning project for Time Series Forecasting of bike count by using Recurrent Neural Networks and UCI Bike Sharing Dataset.

A simple Twitter bot which tries to mimic Donald Trump

Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.

Recurrent neural network with GRUs for trigger word detection from an audio clip

🤖 🔠 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.