CoordConv
pytorch-image-classification
| CoordConv | pytorch-image-classification | |
|---|---|---|
| 1 | 1 | |
| 142 | 899 | |
| - | - | |
| 0.0 | 2.6 | |
| 4 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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CoordConv
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[D],[P] Guidance required for solving a unique problem in application of DL in CFD
For Pytorch I used this repo, it has 1D, 2D and 3D layers.
pytorch-image-classification
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neural networks project
https://github.com/bentrevett/pytorch-image-classification You can find plethora of options like the one above that I have sent, just google it, After mnist usually people go for image classification for differentiating between cats and dogs
What are some alternatives?
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
glasses - High-quality Neural Networks for Computer Vision 😎
SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyTorch-Crash-Course - This is the repository for the PyTorch machine learning crash course.
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - 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.