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RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets.
An open infrastructure software to facilitate radiomics research.
This web page is not guaranteed to have the latest versions.
The latest stand-alone version can be downloaded at
http://bit.ly/IBEX_MDAnderson
The latest source-code version can be downloaded at
http://bit.ly/IBEXSrc_MDAnderson
IBEX (imaging biomarker explorer) is an open
infrastructure software platform that flexibly supports common radiomics workflow tasks such as
multimodality image data import and review, development of feature extraction algorithms, model
validation, and consistent data sharing among multiple institutions.
...
Moved to https://github.com/rdiankov/openrave
An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.