Search Results for "image classification using svm java code"
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Showing 7 open source projects for "image classification using svm java code"
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Trust Wallet Core
Cross-platform, cross-blockchain wallet library
Trust Wallet Core is an open source, cross-platform, mobile-focused library implementing low-level cryptographic wallet functionality for a high number of blockchains. It is a core part of the popular Trust Wallet, and some other projects. Most of the code is C++ with a set of strict C interfaces, and idiomatic interfaces for supported languages: Swift for iOS and Java for Android. Wallet Core supports more than 50 blockchains, Bitcoin, Ethereum, Binance Chain, and most major blockchain... -
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Tribuo
Tribuo - A Java machine learning library
Tribuo* is a machine learning library written in Java. It provides tools for classification, regression, clustering, model development, and more. It provides a unified interface to many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code, Tribuo also makes it possible to deploy models trained by Python libraries (e.g. scikit-learn, and pytorch) in a Java program. Tribuo is licensed under Apache 2.0. Remove the uncertainty around exactly which artifacts... -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims... -
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Autobahn|Java
WebSocket & WAMP in Java for Android and Java 8
Client library providing WAMP on Java 8 (Netty) and Android, plus (secure) WebSocket for Android. The WebSocket layer is using a callback-based user API, and is specifically written for Android. Eg it does not run any network stuff on the main (UI) thread. The WAMP layer is using Java 8 CompletableFuture for WAMP actions (call, register, publish, and subscribe) and the Observer pattern for WAMP session, subscription and registration lifecycle events. The library is MIT licensed, maintained... -
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WrapImaJ
Multi-platform API for Image Processing systems in Life Sciences
WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it only... -
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify... -
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Aspose for Spring.Java
Aspose for Spring.Java provides Aspose API samples for Spring.Java.
Aspose for Spring.Java provides usage samples / sourcecodes for the demonstration of Aspose API for Java by extending famous Spring Java PetClinic Sample Web Application. This extension of "Spring Java PetClinic Sample Web Application" also shows the Integration of Aspose APIs with Spring MVC, JSP and Maven Project. Latest Release: v1.1
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