Search Results for "java-ml"
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Showing 2324 open source projects for "java-ml"
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Selenium
Browser automation framework and ecosystem
Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should) also be automated as well. If you want to create robust, browser-based regression automation suites and tests, scale and distribute scripts across many environments, then you want to use Selenium WebDriver, a collection of language... -
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libGDX
Desktop/Android/HTML5/iOS Java game development framework
libGDX is a cross-platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, macOS, Android, your browser and iOS. libGDX provides a well-tried and robust environment for rapid prototyping and fast iterations. libGDX does not force a specific design or coding style on you; it rather gives you the freedom to create a game the way you prefer. Publish your games on Windows, macOS, Linux (including the RPi!), Android, iOS, and HTML5, all with the same code base... -
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU... -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators... -
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Vosk Speech Recognition Toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi
..., reconfigurable vocabulary and speaker identification. Speech recognition bindings are implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, and virtual assistants. It can also create subtitles for movies, and transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphones to big clusters. -
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Protocol Buffers
Google's data interchange format
Protocol Buffers are Google’s fast and simple, language- and platform-neutral, extensible mechanism for serializing structured data. It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with more... -
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Cubiomes Viewer
An efficient graphical Minecraft seed finder and map viewer
Cubiomes Viewer provides a graphical interface for the efficient and flexible seed-finding utilities provided by cubiomes and a map viewer for the Minecraft biomes and structure generation. The tool is designed for high performance and supports Minecraft Java Edition main releases up to 1.21. The tool features a map viewer that outlines the biomes of the Overworld, Nether and End dimensions, with a wide zoom range and with toggles for each supported structure type. The active game version... -
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SFML
Simple and Fast Multimedia Library
... on the download page. SFML has official bindings for the C and .Net languages. And thanks to its active community, it is also available in many other languages such as Java, Ruby, Python, Go, and more. -
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CP Editor
The IDE for competitive programming
CP Editor is designed for competitive programming. It helps you focus on your algorithms and automates the compilation, execution and testing of your code. It can fetch test cases from different platforms and submit solutions to Codeforces. It automates all that's reasonably possible and allows you to purely focus on your code. Say no to manual efforts of running and testing your code against expected outputs. It can fetch test cases automatically from almost all competitive programming... -
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Tiled
Flexible level editor
...-based games, such as RPGs, platformers or Breakout clones. Tiled was originally written in Java. In 2008, work began to develop a faster, better looking, and easier-to-use version of Tiled based on the Qt framework. This decision was made as the Qt framework has a greater feature set than is offered by the standard Java libraries. Before you can compile Tiled, you must ensure the Qt (>= 5.6) development libraries have been installed as well as the Qbs build tool. -
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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XGBoost
Scalable and Flexible Gradient Boosting
... can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples. -
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Open QR Code
Open QR Code is an open-source, cross-platform app
Open QR Code is an open-source cross-platform application developed using Flutter as main framework used to build the application, in common C, C++, Dart, Skia (a 2D rendering engine), and Impeller (the default rendering engine on iOS), Java, Kotlin. Open QR Code allows users to generate and scan QR codes effortlessly. The app is available on Android, Windows, and the Web. Users can generate QR codes from any text input, save them to their gallery, share them directly from the app, and scan QR... -
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ONNX
Open standard for machine learning interoperability
... learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring). ONNX is widely supported and can be found in many frameworks, tools, and hardware. Enabling interoperability between different frameworks and streamlining the path from research to production helps increase the speed of innovation in the AI community. -
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OR-Tools - Google Optimization Tools
Google's software suite for combinatorial optimization
.... OR-Tools is written in C++, but comes with wrappers for Python, C# and Java. Once you model your problem in your preferred programming language, you can then use any of OR-Tools’ available solvers. OR-Tools is an award-winning project, having won three gold medals in the 2020 MiniZinc Challenge, the international constraint programming competition. -
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Proxy
Proxy: Next Generation Polymorphism in C++
For decades, object-based virtual tables have been a de facto implementation of runtime polymorphism in many (compiled) programming languages. There are many drawbacks in this mechanism, including life management (because each object may have a different size and ownership) and reflection (because it is hard to balance between usability and memory allocation). To workaround these drawbacks, some languages like Java or C# choose to sacrifice performance by introducing GC to facilitate lifetime... -
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CatBoost
High-performance library for gradient boosting on decision trees
CatBoost is a fast, high-performance open source library for gradient boosting on decision trees. It is a machine learning method with plenty of applications, including ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. CatBoost offers superior performance over other GBDT libraries on many datasets, and has several superb features. It has best in class prediction speed, supports both numerical and categorical features, has a fast and scalable GPU... -
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OGRE
scene-oriented, flexible 3D engine (C++, Python, C#, Java)
OGRE (Object-Oriented Graphics Rendering Engine) is a scene-oriented, flexible 3D engine written in C++ designed to make it easier and more intuitive for developers to produce games and demos utilizing 3D hardware. The class library abstracts all the details of using the underlying system libraries like Direct3D and OpenGL and provides an interface based on world objects and other intuitive classes. We consider the results of our GL3Plus RenderSystem as the gold standard. The respective... -
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FlatBuffers
Memory Efficient Serialization Library
... and Android, as well as any other operating systems with a recent C++ compiler. It supports a great number of programming languages, including C++, C#, C, Go, Java, Kotlin, JavaScript, Lobster, Lua, TypeScript, PHP and many others in progress. -
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IREE
A retargetable MLIR-based machine learning compiler runtime toolkit
IREE (Intermediate Representation Execution Environment, pronounced as "eerie") is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the data center and down to satisfy the constraints and special considerations of mobile and edge deployments. -
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SimpleITK
A layer built on top of the Insight Toolkit (ITK)
... be applicable to SimpleITK. Unlike ITK's support of n-dimensional spatio-temporal images, SimpleITK supports 2D, 3D and 4D images. The dimensionality refers to spatiotemporal dimensions, the voxels can be n-dimensional vectors. Open-source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++. Developed by the Insight Toolkit community for the biomedical sciences and beyond. -
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dvisvgm
A fast DVI, EPS, and PDF to SVG converter
The command-line utility dvisvgm is a tool for TEX/LATEX users. It converts DVI, EPS, and PDF files to the XML-based vector graphics format SVG. In contrast to bitmap graphics, vector graphics are arbitrarily scalable without loss of quality. All modern web browsers support a large amount of the current SVG standard 1.1. Furthermore, SVG files can also be displayed with the Java-based Squiggle SVG browser which is part of the Apache Batik project, and the free vector graphics editor Inkscape. -
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Open Asset Import Library
The open-asset-importer-library repository
The Open Asset Import Library (short name: Assimp) is a portable Open-Source library to import various well-known 3D model formats in a uniform manner. The most recent version also knows how to export 3d files and is therefore suitable as a general-purpose 3D model converter. See the feature-list. open3mod is a Windows-based model viewer. It loads all file formats that Assimp supports and is perfectly suited to quickly inspect 3d assets. Assimp aims to provide a full asset conversion... -
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DataFrame
C++ DataFrame for statistical, Financial, and ML analysis
This is a C++ analytical library designed for data analysis similar to libraries in Python and R. For example, you would compare this to Pandas, R data.frame, or Polars. You can slice the data in many different ways. You can join, merge, and group-by the data. You can run various statistical, summarization, financial, and ML algorithms on the data. You can add your custom algorithms easily. You can multi-column sort, custom pick, and delete the data. DataFrame also includes a large collection... -
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cuML
RAPIDS Machine Learning Library
cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU...