pytorch-image-classification
GTSRB
pytorch-image-classification | GTSRB | |
---|---|---|
1 | 1 | |
899 | 108 | |
- | - | |
2.6 | 10.0 | |
over 2 years ago | almost 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | 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
GTSRB
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Need help with a project!!
https://github.com/vamsiramakrishnan/TrafficSignRecognition https://github.com/surmenok/GTSRB/blob/master/german-traffic-signs.ipynb https://github.com/alessiamarcolini/deepstreet https://github.com/JamesLuoau/Traffic-Sign-Recognition-with-Deep-Learning-CNN https://github.com/wolfapple/traffic-sign-recognition https://github.com/hellojialee/Traffic_Sign_Recognition_Efficient_CNN
What are some alternatives?
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
SkinDeep - Get Deinked!!
SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
TrafficSignRecognition - A Deep Neural Network to do traffic sign recognition
PyTorch-Crash-Course - This is the repository for the PyTorch machine learning crash course.
deepstreet - Traffic Sign Recognition - Fine tuning VGG16 + GTSRB
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.
Super-Cars-VS-SUVs - This is a deep neural network that looks at an images of cars and then classify them as suv and supercars
Traffic_Sign_Recognition_Efficient_CNNs - A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
glasses - High-quality Neural Networks for Computer Vision 😎
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)
Captcha-Breaker-project - Recognition of Text-Captcha images, and analysis of breaking it with various techniques