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solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
PyTorch code and models for the DINOv2 self-supervised learning method.
Repository for the short corse "Large Language Models, Generative AI, and Urban Water Engineering"
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
This repository is based on sewer-ml dataset
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code, one can slice images and their bounding box annotations in…
OpenMMLab Detection Toolbox and Benchmark
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
food image to recipe with deep convolutional neural networks.
Python notes in Turkish.
Google's Machine Learning Crash Course Notes
Machine learning-Stanford University