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Top 23 Jupyter Notebook convolutional-neural-network Projects
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t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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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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pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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tensorflow_Realtime_Multi-Person_Pose_Estimation
Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
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Deep-Learning-Computer-Vision
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
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CNN-Filter-DB
A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)
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Handwritten-Optical-Character-Recognition
Responsive web app that can recognize handwritten characters drawn on canvas and perform arithmetic calculation.
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Emotion_Detection_CNN_keras
Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.
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YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
Identify Handwritten Digits using CNN with TensorFlow
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One-Piece-Image-Classifier
A quick image classifier trained with manually selected One Piece images.
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Explore the full code on GitHub
Jupyter Notebook convolutional-neural-networks discussion
Jupyter Notebook convolutional-neural-networks related posts
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[D] Is the math in Integrated gradients (4K citations) wrong?
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Is deep learning really so annoying?
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How to display which parts of a single image a Keras model found to be the most significant when making a prediction?
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The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github, and I have not reuploaded the notebooks to the repo's since then.
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The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github.
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The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github.
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Emotion Detection CNN using keras
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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 | Anime4K | 20,966 |
| 2 | t81_558_deep_learning | 5,743 |
| 3 | coursera-deep-learning-specialization | 4,299 |
| 4 | pytorch-image-classification | 1,085 |
| 5 | course-content-dl | 808 |
| 6 | Food-Recipe-CNN | 586 |
| 7 | EfficientWord-Net | 314 |
| 8 | tensorflow_Realtime_Multi-Person_Pose_Estimation | 220 |
| 9 | gan-vae-pretrained-pytorch | 205 |
| 10 | sign2text | 163 |
| 11 | Deep-Learning-Computer-Vision | 136 |
| 12 | GTSRB | 129 |
| 13 | NoCodeSeg | 57 |
| 14 | cs231n | 46 |
| 15 | TensorFlow2.0_Notebooks | 38 |
| 16 | CNN-Filter-DB | 35 |
| 17 | 10-days-of-grad | 33 |
| 18 | Handwritten-Optical-Character-Recognition | 14 |
| 19 | Emotion_Detection_CNN_keras | 13 |
| 20 | YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow | 4 |
| 21 | One-Piece-Image-Classifier | 2 |
| 22 | Pytorch | 2 |
| 23 | continual-learning | 2 |