Search Results for "image analysis algorithm"
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Showing 5 open source projects for "image analysis algorithm"
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The database client with the highest user satisfactionDbVisualizer is the highest performer among the universal database tools in the G2 grid for universal database management systems. Write queries in an advanced SQL editor that has all the smart features you need. Speed up your coding and avoid errors. Design your favorite workspace that is saved between sessions. Tag objects and script files as favorites for instant loads. Autosave your work and resume where you left off with editors preserved between sessions. Connect with high security. Work with optimized features and functions, improved for over a decade by continuous feedback from thousands of users. Customers range from self employed consultants to major institutions and global corporations with more than 8,000 licensed users.
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that... -
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natural
General natural language facilities for node
"Natural" is a general natural language facility for nodejs. It offers a broad range of functionalities for natural language processing. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported. It’s still in the early stages, so we’re very interested in bug reports, contributions and the like. Note that many algorithms from Rob Ellis’s node-nltools are being merged into this project and will be maintained from here... -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
Data Collection and Labeling for AI Innovation.OORT DataHub is a blockchain-powered platform where people across the world can collect and pre-process data including images, audios, or videos to improve AI and machine learning models.
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CommonGround
An algorithm to bypass filter bubbles
An algorithm to identify common ground between people with opposing viewpoints. Uses topic analysis and sentiment analysis to characterise users' opinions. It then finds users whose opinions are in general opposing, and identifies the topics on which they have most common ground. It recommends content based on the common ground that users with differing opinions share.
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