Top 7 Jupyter Notebook recurrent-neural-network Projects
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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OnlineHTR
Online Handwritten Text Recognition (HTR) system implemented with PyTorch. Based on https://doi.org/10.1007/s10032-020-00350-4.
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Index
What are some of the best open-source recurrent-neural-network projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | pytorch-sentiment-analysis | 4,608 |
| 2 | coursera-deep-learning-specialization | 4,299 |
| 3 | LSTM-Human-Activity-Recognition | 3,488 |
| 4 | course-content-dl | 808 |
| 5 | stock-prediction-deep-neural-learning | 683 |
| 6 | recurrent-ppo-truncated-bptt | 161 |
| 7 | OnlineHTR | 23 |
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