GraphLab Create vs NanoNets
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful. | Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application. |
Analyze terabyte scale data at interactive speeds, on your desktop.;A Single platform for tabular data, graphs, text, and images.;State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.;Run the same code on your laptop or in a distributed system, using a Hadoop Yarn or EC2 cluster.;Focus on tasks or machine learning with the flexible API.;Easily deploy data products in the cloud using Predictive Services.;Visualize data for exploration and production monitoring. | Image categorization API with less than 30 images per category;Custom object localization API;Text deduplication API;Text categorization API |
Statistics | |
Stacks 8 | Stacks 17 |
Followers 40 | Followers 47 |
Votes 3 | Votes 19 |
Pros & Cons | |
Pros
| Pros
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Integrations | |
| No integrations available | |
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