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dlib C++ Library
Dlib is a free, open-source C++ library with machine learning tools for building complex software, widely used in robotics, image processing, and more.
Build AI software with C++ machine learning tools
Dlib is an open-source C++ library packed with machine learning algorithms and tools for developing advanced software. Whether you're working in robotics, image processing, or high-performance computing, you can use Dlib to build intelligent applications without licensing fees.
The library is designed for both industry professionals and academic researchers, offering a wide range of utilities—from linear algebra and optimization to face recognition and object detection. Its extensive documentation and active community make it a practical choice if you want to integrate machine learning into your C++ projects.
With Dlib, you get the flexibility to use powerful algorithms in your own applications, no matter the domain. It’s a great resource if you're looking to experiment, prototype, or deploy robust machine learning solutions in C++.
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Accord.NET is a C# machine learning framework with audio and image processing tools, making it easy to build AI, computer vision, and signal processing apps.
A Chinese-language resource hub offering open machine learning modeling guides, technical docs, and helpful links for AI development and study.
Official site for zlib, an open-source data compression library. Find documentation, downloads, and support for developers using zlib in their projects.
PHP-GTK lets you build desktop applications using PHP and GTK+. Find documentation, downloads, and resources for this open-source extension.
Download PHP builds and extensions for Windows, plus tools and support for running PHP on Microsoft Windows systems.
Offers Perl bindings for Gtk+ 2.x and 3.x, letting you build graphical applications in Perl with a natural, object-oriented style.
Flex is an open-source tool for generating fast lexical analyzers, helping developers create programs that recognize patterns in text efficiently.
Download free, high-quality OpenJDK binaries and tools for Java development from Eclipse Adoptium. Find certified runtimes for all major platforms.
Japanese site offering SSP desktop mascot software, downloads, development resources, and a community for users and creators of Ukagaka mascots.
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Caffe2 is a lightweight, modular deep learning framework for building and deploying AI models. Access docs, tutorials, and APIs for scalable machine learning.
Flux is a deep learning library for Julia, offering tools and resources for building, training, and deploying machine learning models with ease.
ONNX is an open standard platform that enables machine learning models to work across different tools, making AI development more flexible and accessible.
Deep Java Library (DJL) is an open-source toolkit for building, training, and deploying machine learning models using Java and popular ML frameworks.
Apache OpenNLP is an open-source toolkit for building machine learning-based natural language processing solutions in Java.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
AutoKeras helps you build machine learning models easily with an automated system based on Keras. Find guides, resources, and community support.
Seldon helps businesses manage, deploy, and monitor machine learning and AI models, offering flexible tools for real-time workflows and observability.
Create machine learning models with your own images, sounds, or poses—no coding or experience needed. Build, train, and use AI in minutes.
Deeplearning4j is a suite of deep learning tools for Java, letting you train models on the JVM and connect with Python, TensorFlow, and ONNX runtimes.
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