Search Results for "simple" - Page 33

The Umber project provides simple, flexible, "earthy" Java tool libraries for developers. The tools supplement common tasks like XML handling, data processing, and PDF generation, but without the complex and arcane APIs of most modern implementations.

Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.

Provides quick transformation from .yaml or .yml files in classloader or filesystem to java class instances. GitHub: https://github.com/DeMmAge/Simple-Yaml-Transformer Library based on snakeyaml: https://mvnrepository.com/artifact/org.yaml/snakeyaml Add Jitpack repository in <repositories> section in pom.xml: <repositories> <repository> <id>jitpack.io</id> <url>https://jitpack.io</url> </repository> </repositories> Add Simple-Yaml-Transformer dependency: <dependency> <groupId>com.github.DeMmAge</groupId> <artifactId>Simple-Yaml-Transformer</artifactId> <version>1.0.0</version> </dependency>

The ThreadPool library is a simple and efficient way to manage multiple tasks in a program. It allows you to run several tasks at the same time using a pool of worker threads. The entire implementation is provided in one single header file, making it extremely portable and hassle-free to integrate into your project. Whether you are building a small project or a larger application, this library offers the necessary tools to efficiently handle multi-threading with minimal setup. ...

QJoystickManager is a cross platform joystick management system. Its written in C++ and uses SDL and the Qt framework. QJoystickManager strives to be as easy to use as possible, it implements many features that will ease the interaction between your program and the attached joysticks. This project uses Qt extensively, and as such users need to a have working knowledge of C++ and Qt basics (Signals and Slots and Qt data types).

DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary questions given the provided evidence and can even cope with multimodal densities. The library supports the most common types of densities and conditional densities, like uniform or normal densities and facilitates user defined density functions. ...