Search Results for "data visualization"
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Showing 2 open source projects for "data visualization"
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Business password and access manager solution for IT security teamsEuropean businesses use Uniqkey to simplify password management, reclaim IT control and reduce password-based cyber risk. All in one super easy-to-use tool.
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Simplify Time-consuming and Overly Complicated Financial Processes.Zahara's cloud based platform automates budget management, suppliers, purchase requisitions, multi-level purchase approvals, deliveries and invoice reconciliation and approvals. Zahara integrates with most leading accounting software such as QuickBooks Online and Xero to give expanding SME's real time visibility and centralized control of their purchasing. Zahara can be used to control spend in an organization. We take the initial request to buy something and automate the approval process and sending of the PO to the Vendor. Deliveries can be receipted, vendors invoices matched and processed and then exported to finance. Zahara adds control yet speeds up processing.
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own... -
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TenorSpace.js
Neural network 3D visualization framework
...After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc.
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