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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. Cortex.dev vs Swift AI

Cortex.dev vs Swift AI

OverviewComparisonAlternatives

Overview

Swift AI
Swift AI
Stacks14
Followers52
Votes0
Cortex.dev
Cortex.dev
Stacks7
Followers19
Votes0
GitHub Stars8.0K
Forks604

Swift AI vs Cortex.dev: What are the differences?

Swift AI: A.I. and machine learning library written in Swift. Swift AI is a high-performance AI and machine learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!; Cortex.dev: Deploy machine learning models in production. It is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command.

Swift AI and Cortex.dev can be primarily classified as "Machine Learning" tools.

Swift AI and Cortex.dev are both open source tools. Swift AI with 5.63K GitHub stars and 547 forks on GitHub appears to be more popular than Cortex.dev with 1.42K GitHub stars and 69 GitHub forks.

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Detailed Comparison

Swift AI
Swift AI
Cortex.dev
Cortex.dev

Swift AI is a high-performance AI and machine learning library written entirely in Swift. We currently support iOS and OS X, with support for more platforms coming soon!

It is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command.

Feed-Forward Neural Network; Fast Matrix Library
Autoscaling; Supports TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, and more; CPU / GPU support; Rolling updates; Log streaming; Prediction monitoring; Minimal declarative configuration
Statistics
GitHub Stars
-
GitHub Stars
8.0K
GitHub Forks
-
GitHub Forks
604
Stacks
14
Stacks
7
Followers
52
Followers
19
Votes
0
Votes
0
Integrations
Swift
Swift
TensorFlow
TensorFlow
PyTorch
PyTorch
XGBoost
XGBoost
scikit-learn
scikit-learn
Keras
Keras

What are some alternatives to Swift AI, Cortex.dev?

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.

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.

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

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

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