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A PyTorch implementation of the U-Net for image semantic segmentation with high quality images.
Collection of Deep Learning projects and exercises for Udacity's Deep Learning Nanodegree program
A differentiable architecture search library for convolutional and recurrent neural networks
A fast and simple framework for building neural data processing pipelines using Python.
PyTorch implementation of Fully Convolutional Networks for semantic segmentation.
An open-source YOLO object detection library for training custom models on any dataset, with various backend support.
A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts
Tutorials on implementing image classification architectures using PyTorch and TorchVision.
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