Building Industrial Analytics solutions is not easy. As Apple, Google and Amazon rush to “democratize” Artificial Intelligence, they join existing open source development communities. We’ve put together a list of both free and commercial Machine Learning and AI development resources.
C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence
|Open||http://www.aforgenet.com||Developers and Researchers||http://www.aforgenet.com/forum/|
Amazon Machine Learning
A managed service for building Machine Learning models and generating predictions.
|Amazon||https://aws.amazon.com/aml/||Developers of all skill set levels||@awscloud|
Pricing: Data Analysis and Model Building Fees: $0.42 per hour; Batch Predictions
$0.10 per 1,000 predictions, rounded up to the next 1,000; Real-Time Predictions
$0.0001 per prediction, rounded up to the nearest penny
Apple Core ML
Foundational machine learning framework used across Apple products.
Suite of Machine Learning products that enables developers with limited Machine Learning expertise to train high-quality models.
|https://cloud.google.com/automl/||Developers with limited skill set levels||https://cloud.google.com/support/docs/community||@GCPcloud|
Pricing: Batch prediction Fees(US)$0.09262 per node hour; Online predictions: $0.3 per node hour.
More pricing information is available at: https://cloud.google.com/ml-engine/pricing
A community of over of 600,00 Data Scientists. Public and private data science competitions and on-demand consulting by an elite global talent pool.
|Open||https://keras.io/||Developers and Researchers||https://groups.google.com/forum/#!forum/keras-users|
Apache Spark’s scalable Machine Learning library.
Microsoft Cognitive Toolkit
Open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain.
|Microsoft||https://docs.microsoft.com/en-us/cognitive-toolkit/||Developers and Researchers||https://github.com/Microsoft/CNTK/|
An open-source Machine Learning framework.
|Open||https://www.tensorflow.org/||Developers and Researchers||https://www.tensorflow.org/community/||@tensorflow|