pytorch-image-classification
PyTorch-Crash-Course
pytorch-image-classification | PyTorch-Crash-Course | |
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1 | 1 | |
899 | 1 | |
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2.6 | 10.0 | |
over 2 years ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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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
PyTorch-Crash-Course
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Help in Learning AI?
code available in github
What are some alternatives?
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow
SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyTorchStepByStep - Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
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.