Search Results for "online training platform"

XGBoost is an optimized distributed gradient boosting library, designed to be scalable, flexible, portable and highly efficient. It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems....

Fluid is a collection of cross-platform QtQuick components for building fluid and dynamic applications, using the Material Design guidelines. Online documentation is available at docs.liri.io. We develop using the git flow method this means that the develop branch contains code that is being developed and might break from time to time. If you want to check out a stable version just install one of the releases or clone the master branch that has the latest released version.

Online documentation: http://ppip.sourceforge.net/doc/

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. ...

A set of C++ basic modules, which can be used for C++ Training or some small projects