Kornia vs scikit-learn

Overview

scikit-learn

Stacks1.3K

Followers1.1K

Votes45

GitHub Stars63.9K

Forks26.4K

Kornia

Stacks14

Followers6

Votes0

GitHub Stars10.8K

Forks1.1K

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Detailed Comparison

scikit-learn	Kornia
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.	It is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions.
-	Perform feature detection; Perform data augmentation in the GPU; Perform image filtering and edge detection; Differentiable computer vision library
Statistics
GitHub Stars 63.9K	GitHub Stars 10.8K
GitHub Forks 26.4K	GitHub Forks 1.1K
Stacks 1.3K	Stacks 14
Followers 1.1K	Followers 6
Votes 45	Votes 0
Pros & Cons
Pros 26 Scientific computing 19 Easy Cons 2 Limited	No community feedback yet
Integrations
No integrations available	PyTorch

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Cloudinary

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TensorFlow

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OpenCV

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PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

ImageKit

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Keras

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Kubeflow

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TensorFlow.js

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