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Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for deep learning models. It provides a collection of transformations that modify pixel values and spatial geometry to increase the diversity of training samples and improve model generalization. The library supports both 2D image augmentation and 3D volumetric data augmentation. It handles a variety of labels alongside images, ensuring that bounding boxes, keypoints, and segmentation masks remain accurately aligned when spatial transformations are applied. The tool incorporates
Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
The main features of aaronx121/ensemble-pytorch are: PyTorch Utilities.
Projects with overlapping indexed features include: albu/albumentations — Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for… alexshtf/torchcurves — Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs. amirgholami/hessianflow. amirgholami/pyhessian — PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks. asyml/texar-pytorch — Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This… ag14774/diffdist.
