recurrent neural network based recommender systems @ ACM RecSys 24, SIGCHI
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Updated
May 31, 2024 - Jupyter Notebook
recurrent neural network based recommender systems @ ACM RecSys 24, SIGCHI
Used RNN architectures to classify the respiratory sound samples into four different categories. This will in turn help detect respiratory diseases in patients.
A machine learning project for detecting hand gestures for Smart TVs using CNN and RNN
An attempt to collect and use data to find a player's "Patterns of Play". These can be exploited in a match.
Develop a Recurrent Neural Network (RNN) that can learn the lyrics and melodies of songs
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
The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG dataset.
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
Music Generation using Multi-Layer Gradient Recurrent Units. This involves using many-to-many type of RNN for input-output mapping.
Sentence Autocompletion Project with GRU based RNN using Alice in Wonderland text dataset and NYT comments dataset
Experiment for understanding RNN architecture
Comparison between RNNs and Attention in Document Classification
Seq2Seq model that restores punctuation on English input text.
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.
🤖 🔠 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.
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