10+ Open source AI platforms - Build, Test and Deploy #2022

What Is Open Source Artificial Intelligence (AI)?

Open source AI is a type of AI where the source code is released under an open source license. This allows anyone to use, study, modify, and distribute the software for any purpose.

There are many advantages to using open source AI. For one, it can help speed up the development of new AI applications. Open source AI also allows developers to collaborate and share ideas more easily. And because open source AI is free to use, it can help reduce the cost of developing new AI applications.

There are a number of open source AI platforms available today. Here are 10 of the best:

Google AI Platform

With more than 30 tools and services for developers, this open-source AI platform from the tech giant offers everything needed to build, test and deploy machine learning models.

Features

– Cloud TPUs for training and inference

– AutoML for automated machine learning

– BigQuery ML for building models on large datasets

– Cloud Datalab for data exploration and analysis

– Data Studio for visualizing data

IBM Watson Studio:

An integrated environment for data science, Watson Studio provides tools for data preparation, model building, deployment, and monitoring.

Features-

-Integrated development environment (IDE) for writing code and working with data.

-Tools for visualizing data and creating machine learning models.

-Services for training and deploying machine learning

Amazon SageMaker

A fully-managed service for building, training, and deploying machine learning models, SageMaker makes it easy to get started with ML.

Features-

– Notebook instances for easy access to Jupyter notebooks

– One-click training and deployment

– A variety of built-in ML algorithms

– Integration with popular open source libraries

Azure Machine Learning Studio

A browser-based, drag-and-drop tool, Azure Machine Learning Studio makes it easy to build, test, and deploy machine learning models.

Microsoft Azure Machine Learning Studio

This open-source AI platform from Microsoft offers a drag-and-drop interface that makes it easy to build, test and deploy machine learning models.

Features include:

– A variety of built-in ML algorithms

– Integration with popular open source libraries

– One-click training and deployment

– A wide variety of open source algorithms

– Integration with popular IDEs and tools such as Visual Studio and PyCharm

– Support for GPU and CPU compute targets

TensorFlow

One of the most popular open source ML frameworks, TensorFlow is used by developers all over the world to build sophisticated models.

Features-

– A large community of users

– Flexible architecture

– Ease of use

Scikit-learn

A popular open-source ML library for Python, sci-kit-learn offers a number of easy-to-use tools for data mining and data analysis.

Features-

– A variety of built-in ML algorithms

– Easy to use API

– Good documentation

Keras

A high-level open source neural networks API, Keras is written in Python and runs on top of TensorFlow.

Features-

– User-friendly API

– Modular design

– Support for a variety of platforms

Microsoft Azure ML

A cloud-based platform for building, training, and deploying machine learning models, Azure ML offers a wide variety of features and services.

Apache Mahout

A library of scalable machine learning algorithms, Mahout is used by major companies such as Twitter, Yahoo, and LinkedIn.

Accord.NET

A open source ML framework for .NET developers, Accord.NET provides a wide range of algorithms for statistical and machine learning.

Pattern

An open-source data mining library for the Python programming language, Pattern offers a wide range of features for data analysis and machine learning.

Shogun:

An open-source toolbox for large-scale machine learning, Shogun provides a wide range of algorithms for classification, regression, and clustering.

MindsDB

is an open-source AI platform that enables developers to train and deploy machine learning models with ease. Featuring a simple yet powerful API, MindsDB makes it easy to get started with machine learning.