Top 5 Jupyter Notebook convolutional-neural-network Projects
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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Explaining-In-Style-Reproducibility-Study
Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).
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Speech-Emotion-Classification-CNN
Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.
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Index
What are some of the best open-source convolutional-neural-network projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | coursera-deep-learning-specialization | 4,335 |
| 2 | pytorch-image-classification | 1,085 |
| 3 | GTSRB | 129 |
| 4 | Explaining-In-Style-Reproducibility-Study | 38 |
| 5 | Speech-Emotion-Classification-CNN | 2 |
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