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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

UpdatedMar 24, 2023
Python

pvlachas /RNN-Lyapunov-Spectrum

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

UpdatedJul 25, 2024
Python

nursnaaz /Deeplearning-and-NLP

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

python tensorflow lstm rnn image-recognition tensorboard recommender-system deeplearning rnn-tensorflow nlp-machine-learning opencv-python rnn-model keras-tensorflow gensim-word2vec spacy-nlp yolov3 rnn-gru rnn-lstm rnn-keras kers

UpdatedApr 26, 2021
Jupyter Notebook

exchhattu /TimeseriesWeatherForecast-RNN-GRU-LSTM

Weather forecasting using recurrent neural network

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

UpdatedApr 7, 2020
Jupyter Notebook

amisha-jodhani /text-generator-harry-potter

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

UpdatedJun 11, 2021
Jupyter Notebook

Qianli-Wu /EEG_classification

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

UpdatedMar 29, 2023
Python

theRajeshReddy /StackOverFlow-Classification

Multiclass Multilabel prediction for stack overflow Questions using NLP

deep-learning multiclass-classification rnn-gru

UpdatedMay 18, 2019
Jupyter Notebook

girivallepu /Trigger-word-detection

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

UpdatedJan 10, 2019

christospi /glc-nllp-21

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

UpdatedJun 24, 2023
Python

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

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

UpdatedMay 26, 2024
Jupyter Notebook

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

🤖 🔠 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

UpdatedMar 11, 2025
Jupyter Notebook

ktxlh /manhattan-bigru

Siamese Manhattan Bi-GRU for semantic similarity between sentences

sts bidirectional-gru siamese-recurrent-architectures rnn-gru

UpdatedMay 8, 2019
Python

kartikchincholikar /Badminton-Analysis

An attempt to collect and use data to find a player's "Patterns of Play". These can be exploited in a match.

python data markov-chain rnn representation rnn-gru

UpdatedOct 15, 2023
Jupyter Notebook

hgayan7 /DL-ML-notebooks

Collection of my Deep Learning and Machine Learning notebooks.

machine-learning deep-learning random-forest tensorflow jupyter-notebook autoencoder nlp-machine-learning linear-models cnn-classification fashion-mnist rnn-gru custom-object-detection

UpdatedNov 11, 2019
Jupyter Notebook

hakula139 /Trump-bot

A simple Twitter bot which tries to mimic Donald Trump

python nlp deep-learning text-generation pytorch rnn-gru

UpdatedJan 22, 2021
Python

spirospolitis /aueb-msc-data-science

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

data-science machine-learning statistics course deep-learning sentiment-analysis text-classification tensorflow homework mathematics text-analysis cnn assignment rnn image-classification sentiment-classification aueb rnn-gru rnn-lstm

UpdatedSep 15, 2020
Jupyter Notebook

przybm /EPF_in_Poland

ggplot2 r time-series fable keras regression rmarkdown rnn glmnet caret arima time-series-analysis electricity-prices rnn-gru arimax electricity-price-forecasting gpw-tge

UpdatedNov 27, 2020
R

Nishant2018 /GRU-Scratch-

Gated Recurrent Units (GRUs) are a type of RNN designed to capture long-term dependencies in sequential data

deep-learning gru deeplearning rnn-gru

UpdatedJun 11, 2024
Jupyter Notebook

jungsoh /gru-trigger-word-detection

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

gru batch-normalization speech-recognition convolutional-layers recurrent-neural-network trigger-word-detection rnn-gru gated-recurrent-unit dropout-layers

UpdatedJan 27, 2022
Jupyter Notebook

FrancescoGradi /DocumentClassificationwithHANandBERT

Comparison between RNNs and Attention in Document Classification

document-classification bert rnn-attention rnn-gru rnn-lstm

UpdatedDec 8, 2022
Python

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