Top 15 products relevant to Data Science And Machine Learning, OCR, and Machine Learning

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Open Source

scikit-image is a collection of algorithms for image processing.

Open Source

SimpleCV is an open source framework for building computer vision applications.

Open Source

Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

Google's DeepDream algorithm implementation. Creates hallucinogenic dream-like visuals.

Automatically extract metadata from video and audio files using Video Indexer. Improve the performance of your media content with Azure.

Caffe is an open source, deep learning framework.

Open Source

deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.

DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models.

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.

Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data that leverages the scikit-learn Python toolbox for multivariate statistics.

AIToolbox is a toolbox of AI modules written in Swift.

Open Source

Sense, analyze and act with assets in real-time with Zebra's computer vision technology solutions.