Add professional AI integration to your standalone system
Healthcare, scientific, and engineering hardware are often complex embedded systems that cannot be supported like consumer products. Skymind's SKIL gives you enterprise tooling and support for deploying and debugging professional machine learning models for projects at the edge. Add critical machine learning operations to firewalled environments and tooling for debugging on-site deployments.
API clients available in 8 different languages allowing you to tightly integrate and debug in remote and inaccessible environments.
import skil_clientndarray = INDArray(array=base64.b64encode(x_in)) input = Prediction(id=1234, prediction=ndarray, needsPreProcessing=false) result = client.predict(input, "production", "recommender_rnn") feedback = client.feedback(result.id, result.array, input, expected) logs = client.logs()
SKIL comes in multiple distribution flavours and custom support to integrate in custom hardware environments, supply fault tolerance, and integrate with other embedded storage systems.
Script your workflow just like a continuous integration server. Set up versioning of trained models, periodically train on feedback data, and rollback when new versions underwhelm.
The built-in cluster architecture replicates models to create a redundant system that won't fail due to node failure. SKIL uses the tried and trusted Apache ZooKeeper to ensure high availability.
|Deeplearning4j||Deep Learning for the JVM on Hadoop & Spark||✔||✔|
|Tensorflow||Importing Pre-Trained Models from TensorFlow||✔||✔|
|Keras||Importing Pre-Trained Models from Keras||✔||✔|
|DataVec||Data ETL Normalization and Vectorization||✔||✔|
|ND4J||High Performance Linear Algebra CPU and GPU Library on the JVM||✔||✔|
|RL4J||Reinforcement Learning Algorithms||✔||✔|
|Model Server||Integrated Model Hosting, Management, and Version Control||LIMITED||✔|
|Model Import||Importing Pre-Trained Models from TensorFlow and Keras||✔||✔|
|Workspaces||Notebook System for Model Construction and Collaboration||LIMITED||✔|
|Hardware Acceleration||Managed CUDA for GPU and MKL for CPU||✔||✔|
|Integration Tooling||Native Integration with CDH and HDP||✔||✔|
|Somatic||Sensor Vision and Control Integration for Robotics||✖||✔|
|Online Community||Access to Community Forum, Videos, and Documentation||✔||✔|
|Development Support||General Feature Engineering and Model Tuning Advice||✖||✔|
|SLA||Guaranteed Uptime and Response Times||✖||✔|