Search Results for "rbf"

cmios9: access to Fairlight QDOS, OS-9 RBF, and MDR-DOS image files and devices. Copyright (C) 2001-2024 by Klaus Michael Indlekofer. All rights reserved. Note: Special restrictions apply. See disclaimers below and within the distribution. (We are not affiliated in any way with companies/persons mentioned above. All brand names and trademarks are property of their respective owners.)

Toolshed project has moved: https://github.com/nitros9project/toolshed ToolShed is a package of utilities to perform cross-development from Windows, Linux or Mac OS X computers to the Tandy Color Computer and Dragon microcomputers. Tools are included to read/write both OS-9 RBF disk images and CoCo Disk BASIC disk images, generate cassette WAV files and more.

...Copyright (c) 2013-2022 by Klaus Michael Indlekofer. All rights reserved. Note: Special restrictions apply. See disclaimers below and within the distribution. Note: A utility for MFX3plus OS-9 RBF hard disk image files and devices can be found here: https://sourceforge.net/projects/cmios9/ (We are not affiliated in any way with companies/persons mentioned above. All brand names and trademarks are property of their respective owners.)

The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit:...

GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.

We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data with large size.

...Some functionality may also be useful in more general Motorola 6809 centered projects. CocoCommons provides a set of libraries for common tasks such as reading DECB and RBF filesystems, interpretting common file formats, and displaying CoCo-like screens. These are used extensively in the DriveWire 4 project and the upcoming nineserver project. In time it these libraries should implement most of the functionality now found in the Toolshed project.

RBF is a Radial Base Functions Library. For mesh less algorithms, it have a set of examples for undertand how use it.

Python Machine learning library with multi-core support. Wraps existing ML libraries in order to be able to run and analyse experiments with one front-end API. Currently supports MLP, GA, GP, ESN and RBF algorithms.