seq2seq-signal-prediction

Signal prediction model

A project demonstrating the use of a Sequence-to-Sequence Recurrent Neural Network (RNN) for time series forecasting in Python using TensorFlow.

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

GitHub

1k stars
41 watching
293 forks
Language: Jupyter Notebook
last commit: over 3 years ago
Linked from 3 awesome lists

pythonseq2seqtensorflowtensorflow-tutorials

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
mhjabreel/stf-rnnRecurrent neural network model for predicting people's next location based on spatial and temporal features28
alexbrillant/seq2seq-attentionAn implementation of an attention mechanism using TensorFlow 2 to analyze time series data.7
damitkwr/esrnn-gpuA PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs.319
tgjeon/tensorflow-tutorials-for-time-seriesA comprehensive guide to time series prediction using TensorFlow1,108
ragulpr/wtte-rnnA framework for predicting time to event and churn using recurrent neural networks with Weibull distribution769
qk-rahul/seq2seq-mappingSequence-to-sequence mapping using encoder-decoder RNNs with optional GPU support and validation/early-stopping mechanisms for training8
alex-berard/seq2seqAn attention-based sequence-to-sequence learning framework389
guillaume-chevalier/sgnn-self-governing-neural-networks-projection-layerReproduces a SGNN's word projections preprocessing pipeline using word n-grams instead of skip-grams23
eladhoffer/seq2seq.pytorchProvides tools and frameworks for training sequence-to-sequence models using PyTorch523
hamid-nasiri/recurrent-fuzzy-neural-networkA software framework that uses a recurrent neural network with fuzzy logic to predict chaotic time series data63
outcastofmusic/quick-nlpA Python NLP library for training and running sequence-to-sequence models similar to the fast.ai library.283
aistream-peelout/flow-forecastAn open-source deep learning framework for time series forecasting and analysis2,080
tkuanlun350/tensorflow-segnetA TensorFlow-based implementation of the SegNet segmentation algorithm, with modifications to address index unravel issues and support multiple features such as dilation and multi-resolution learning.369
ibm/pytorch-seq2seqA PyTorch-based framework for building and training sequence-to-sequence models1,499
guillaumegenthial/sequence_taggingNamed Entity Recognition model using LSTM and CRF with character embeddings1,947