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pvlachas / RNN-RC-Chaos

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

chaos esn recurrent-neural-networks forecasting rnn echo-state-networks reservoir-computing backpropagation rnn-tensorflow rc rnn-gru rnn-lstm kuramoto-sivashinsky lorenz-96 lorenz-3d reservoir-computer

Updated Mar 24, 2023
Python

pvlachas / RNN-Lyapunov-Spectrum

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A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

rnn-pytorch lyapunov-spectrum rnn-gru lyapunov-exponents

Updated Jul 25, 2024
Python

nursnaaz / Deeplearning-and-NLP

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

Updated Apr 26, 2021
Jupyter Notebook

exchhattu / TimeseriesWeatherForecast-RNN-GRU-LSTM

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Weather forecasting using recurrent neural network

time-series-analysis rnn-gru rnn-lstm rnn-keras

Updated Apr 7, 2020
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Qianli-Wu / EEG_classification

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The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG dataset.

keras transformer cnn-architecture rnn-gru

Updated Mar 29, 2023
Python

amisha-jodhani / text-generator-harry-potter

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deep-learning neural-network tensorflow harry-potter keras text-generator rnn-gru

Updated Jun 11, 2021
Jupyter Notebook

xujiuqing2023 / marl-ppo-suite

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Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.

pytorch reinforcement-learning-algorithms smac multiagent-reinforcement-learning rnn-pytorch starcraft2 rnn-gru multiagent-learning mappo multiagents

Updated Oct 21, 2025
Python

theRajeshReddy / StackOverFlow-Classification

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Multiclass Multilabel prediction for stack overflow Questions using NLP

deep-learning multiclass-classification rnn-gru

Updated May 18, 2019
Jupyter Notebook

girivallepu / Trigger-word-detection

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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

python trigger-word-detection rnn-gru rnn-keras

Updated Jan 10, 2019

legalaspro / marl-ppo-suite

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Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO and HAPPO with various techniques.

docker automation pytorch reinforcement-learning-algorithms parallel-processing smac multiagent-reinforcement-learning rnn-pytorch ppo starcraft2 rnn-gru multiagent-learning happo wandb heterogeneous-agents mappo multiagents smacv2 runpods

Updated May 13, 2025
Python

yashmaniya0 / Respiratory-Sound-Classification-with-BiGRU-and-BiLSTMs

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Used RNN architectures to classify the respiratory sound samples into four different categories. This will in turn help detect respiratory diseases in patients.

deep-learning tensorflow keras audio-processing rnn-gru rnn-lstm

Updated May 26, 2024
Jupyter Notebook

christospi / glc-nllp-21

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Code and data for the NLLP 2021 paper: `Multi-granular Legal topic Classification on Greek Legislation`

nlp machine-learning deep-learning neural-networks legaltech legal-documents rnn-gru bert-models

Updated Jun 24, 2023
Python

vls-00 / Neural-Networks-for-Vaccine-Sentiment-Classifier

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🤖 🔠 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.

python classifier machine-learning artificial-intelligence neural-networks rnn-pytorch rnn-gru rnn-lstm