Solutions to the Advanced CNN course by the Lazy Programmer and all CNN Models I've worked on
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Updated
Feb 3, 2020 - Python
Solutions to the Advanced CNN course by the Lazy Programmer and all CNN Models I've worked on
This repo contains implementation of deep learning-based steel surface defect segmentation models.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A wrapper library over several open source cnn models for tensorflow -2.x.
A collection of deep learning models for rice classification using PyTorch, torchvision, and scikit-learn, with performance metrics evaluated using Slurm jobs.
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