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kornia/kornia

kornia

🐍 Geometric Computer Vision Library for Spatial AI

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kornia

kornia

kornia β€’ individual

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11,151

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1,180

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28 commits in 30d

Created

Aug 22, 2018

Project creation date

README Summary

Kornia is a differentiable computer vision library for PyTorch that provides a set of routines and differentiable modules to solve generic computer vision problems. It consists of a package of differentiable computer vision primitives that can be integrated into deep learning models for tasks like image transformations, filtering, and geometric operations. The library is designed to bridge the gap between classical computer vision and deep learning by making computer vision operations differentiable and GPU-accelerated.

AI Dev Skills

Unmapped

computer-visionpytorchdeep-learningimage-processinggeometric-transformations

Tags

computer-visionpytorchdeep-learningimage-processinggeometric-transformationsdifferentiable-programminggpu-accelerationspatial-aineural-networksmachine-learning

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Recent Activity

Updated 14 days ago

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30 Days

28

90 Days

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production
Quality
high
Maturity
production

Categories

Dev Tools & AutomationPrimaryComputer VisionOther AI / MLModel TrainingInference & Serving

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Developer Platform

Languages

Python100.0%

Timeline

Project created
Aug 22, 2018
Forked
Mar 31, 2026
Your last push
14 days ago
Upstream last push
7 days ago
Tracked since
Mar 30, 2026

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