Search Results for "frameworks" - Page 11
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Showing 613 open source projects for "frameworks"
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GUI-lite
The smallest header-only GUI library(4 KLOC) for all platforms
...The source code only uses basic C++ features (class, virtual function). We chose C++ as it could make the code size significantly smaller and easier to read. Work smoothly with 3rd party frameworks(Qt/MFC/Winform/Cocoa/Web). Zero dependency, 100% build pass & runnable. Click the demo you like, and run it on your hardware. -
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.Net Core for Delphi/Lazarus
The best library to work with the .Net Core from Delphi and Lazarus.
The .Net Core for Delphi/Lazarus (dotNetCore4Delphi) is a .Net Core Runtime Library for Delphi which helps Delphi/Pascal developers work with .Net Core. It is designed to provide a way to interact with .Net Core applications from Delphi/Pascal. What dotNetCore4Delphi can do: - Access .Net Core Framework Class Library. - Access Third Party .Net Core Libraries. - Access Your .Net Core Libraries. - etc Competitive Advantages: - Cross-platform framework that runs on Windows, Linux and... -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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libxlsxwriter for Clarion
Wrapper of C library
Wrapper for Clarion based on C library (https://libxlsxwriter.github.io). Write xlsx files without Excel! Data, formatting, charts, filters and more. No extra dependencies like .NET Frameworks and so on. Clarion 6 or higher supported -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a... -
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jsoncat
Lightweight HTTP framework built in Java
...The project is organized as a small library and tutorial-style codebase, where core HTTP handling, routing, and JSON processing are exposed in a compact way so learners can trace how HTTP requests are parsed and dispatched. Because it avoids heavy abstractions and auto-magical configuration, it’s suited to developers who want to understand what happens beneath frameworks rather than just use them. The code has detailed comments (recently translated or annotated for Chinese readers), making it a practical study project for learning network programming, middleware design, and handler chains. Projects like this are especially useful for backend engineers or Java learners who want to demystify how web servers and routing frameworks work at a low level. -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. Full transparency... -
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Jodd
Jodd! Lightweight, Java, zero dependencies, use what you like
...Version v5 contains remaining libraries and frameworks. They are in maintenance mode. -
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BotMan
A framework agnostic PHP library to build chat bots
Write your chatbot logic once and connect it to one of the available messaging services, including Amazon Alexa, Facebook Messenger, Slack, Telegram or even your own Website. BotMan is framework agnostic, which means you can use it in your existing codebase, whatever framework you might use. Starting a new chatbot project? BotMan Studio is a Laravel 5.5 boiler project to get you started in no time! BotMan is all about having an expressive, yet powerful syntax that allows you to focus on the... -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
...For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have your own algorithms built into SageMaker compatible Docker containers, you can train and host models using these as well. -
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Dragula
Drag and drop so simple it hurts
Dragula is a lightweight JavaScript library that makes drag-and-drop between containers in the browser extremely simple. You provide one or more container elements and it handles all the DOM event wiring so users can drag items within and between containers with natural behavior. By default, any element in those containers can be picked up and dropped in any other container in the group, with sensible rules for what happens if the item is dropped elsewhere. The library includes configuration... -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. ... -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable... -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and... -
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.Net Runtime Library for Delphi
This is the best library to work with the .Net framework from Delphi.
The .Net Runtime Library for Delphi (CNClrLibrary) is the best library to work with .Net framework and .Net libraries from Delphi. It is designed to provide a way to interact with applications written in anyone of the .Net languages (such as C#, Visual Basic.Net, Delphi.Net, JScript.Net, etc) from Delphi. CNClrLibrary allows Delphi to use .Net libraries without the need for registry entries, COM registrations, or changes to the .NET libraries. Competitive Advantages: - No extra dll... -
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Boss Engine
8-bit Graphical API for Java
Boss Engine is a graphical API for writing low-resolution 8-bit color applications. It offers easy to use functions for handling graphics, basic i/o and more. Screen access is performed through virtual framebuffers that allow direct read/write access to indexed color screen data. API is coded entirely with native libraries. No third party libraries required. -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
" Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including... -
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JKCategories
Collection of useful Objective-C Categories extending iOS Frameworks
JKCategories(iOS-Categories), a collection of useful Objective-C Categories extending iOS Frameworks such as Foundation, UIKit, CoreData, QuartzCore, CoreLocation, MapKit Etc. -
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dotNet4Java - .Net for Java
The best Java library to work with .Net libraries and frameworks.
The dotNet4Java is a .Net Runtime Library for Java which helps Java developers work with .Net framework and 3rd party libraries in Java with ease. It is designed to provide a way to interact with applications written in anyone of the .Net languages (such as C#, Visual Basic.Net, Delphi.Net, JScript.Net etc) from Java. Competitive Advantages: - dotNet4Java JAR can be easily added to artefacts repository like maven or ivy. - dotNet4Java is single jar file that can be very easily added to... -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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iOS7-Sampler
Code examples for the new features of iOS 7
iOS7-Sampler is an educational application containing examples for major frameworks and behaviors introduced with iOS 7. It demonstrates UIKit Dynamics, speech synthesis, custom view-controller transitions, spring animations, and parallax motion effects. Location and connectivity samples cover 3D maps, directions, iBeacon monitoring, and Multipeer Connectivity over nearby wireless links. Camera and image examples include slow-motion recording, smile detection, Core Image filters, QR code reading, and QR code generation. ... -
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Nana C++ Library
A modern C++ GUI library
Nana C++ Library takes aim at easy-to-use and portable library, it provides a GUI framework and threads for easy programming with modern C++ methods, such as traits, metaprogramming and other template technologies. Documentation http://nanapro.org/en-us/documentation Feel free to report a bug at https://github.com/cnjinhao/nana/issues -
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ChainerRL
ChainerRL is a deep reinforcement learning library
ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments... -
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OkReplay
Record and replay OkHttp network interaction in your tests
...This allows tests to be executed offline, reduces flakiness due to network variability, and isolates the test environment from external dependencies. OkReplay integrates with testing frameworks such as JUnit and Espresso, so it fits naturally into Android testing pipelines. Because recording only happens when running with the annotation, production code paths remain unaffected. It’s especially useful when your app’s logic depends on network APIs and you want faster, more reliable unit or integration tests.
