Algorithms.io vs Shadeform
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 has a unified, easy-to-use API and platform to access and deploy GPU workloads to any provider. It guarantees inference and training jobs will run on time at optimal cost. |
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 | One click deployment, any cloud;
Choose from an A10 to H100s for training and inference;
Be running in minutes;
No setup required |
Statistics | |
Stacks 48 | Stacks 0 |
Followers 77 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
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