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Top 3 Jupyter Notebook Seq2seq Projects
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pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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GAN-RNN_Timeseries-imputation
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Behavior-Sequence-Transformer-Pytorch
This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook Seq2seq related posts
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
- Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag
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A note from our sponsor - InfluxDB
www.influxdata.com | 26 Apr 2024
Index
What are some of the best open-source Seq2seq projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | pytorch-seq2seq | 5,150 |
| 2 | GAN-RNN_Timeseries-imputation | 159 |
| 3 | Behavior-Sequence-Transformer-Pytorch | 129 |
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