Algorithms.io vs Neuro
Overview
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CLI (Node.js)
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Detailed Comparison
Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables | It accelerates ML development. It provides an instant infrastructure for your ML projects. You can think of it as the Heroku of MLOps or the AWS lambda functions for ML, all powered by GPUs. |
Classification & Anomaly Detection- With our machine learning algorithms and your time series data, we can get up to 99% prediction accuracy on the state of the sensor. Algorithms include neural network, random forest, support vector machine and others.;Streaming Data Infrastructure- We provide the infrastructure for your streaming data as a service including a highly scalable time-series database and analytics capabilities.;Analytics Across All Your Devices- Capture and aggregate data from all of your devices to perform analytics across the entire dataset.;Random Forest, SVM, Decision Tree, Node.js, Streaming Data | Wide ML library support;Immediate access to GPUs; Scale as you go; Only pay for compute time |
Statistics | |
Stacks 48 | Stacks 2 |
Followers 77 | Followers 4 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
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