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  1. Stackups
  2. AI
  3. Image & Video Models
  4. Image Analysis API
  5. Kornia vs Restb.ai

Kornia vs Restb.ai

OverviewComparisonAlternatives

Overview

Restb.ai
Restb.ai
Stacks2
Followers2
Votes0
Kornia
Kornia
Stacks14
Followers6
Votes0
GitHub Stars10.8K
Forks1.1K

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Detailed Comparison

Restb.ai
Restb.ai
Kornia
Kornia

It tags, classifies, and organizes your real estate images.

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.

Real estate image tagging; Understand the condition and quality of your properties at scale; Identify the most visually similar photos and listings; Duplicate detection; Image captions; Automatic descriptions
Perform feature detection; Perform data augmentation in the GPU; Perform image filtering and edge detection; Differentiable computer vision library
Statistics
GitHub Stars
-
GitHub Stars
10.8K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
2
Stacks
14
Followers
2
Followers
6
Votes
0
Votes
0
Integrations
No integrations available
PyTorch
PyTorch

What are some alternatives to Restb.ai, Kornia?

Cloudinary

Cloudinary

Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

imgix

imgix

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

OpenCV

OpenCV

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

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

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

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