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Google Summer of Code 2016 Projects
Welcome Students (and mentors)! See how to get involved and our GSoC blog posts.
This is a growing list. To add, please create a new wiki page for each project that you describe. Name them as "GSoC_2016_project_XXX" etc. Here is a template.
This year's GSoC is about improving Shogun, rather than extending it. Exceptions allowed. We aim to recruit new long-term developers.
- Fewer new algorithms. Rather improve existing ones: Usability, efficiency, documentation, application
- Fewer students. More intense mentoring, interaction between students, blogging, documenting
Mentors (and students) this year
Bold projects are more likely to happen. ALL students will be required to:
- peer-review a fellow student's work in the final phase of GSoC
- jointly helpo with the 5.0 release in the final phase of GSoC
Furthermore, we plan an experiment this year: an additional side-project that all students work on jointly and in addition to their main project -- building a Shogun cookbook
These are roughly ordered in our priority in them. Most of them do not focus on Machine Learning but rather on software engineering.
- Easy installation on major platforms
- Unified ML interface, plugin-based architecture
- Fundamental ML: The usual suspects
- A Shogun Detox
- SWIG, Matlab & modular interfaces
- HMM cleanup and application
- Native MS Windows port
- Unifying Shogun's linear algebra
- Flexible modelselection 2
The projects we would like to limit in numbers.
- Gaussian Processes & tensorflow autodiff
- Hip Deep learning
- Fundamental ML: LGSSMs
- Density Estimation in Infinite Dimensional Exponential Families
- Large scale statistical testing
- Solver for the KKT System
- Dual coordinate ascent solver for SO-SVM
- LP/QP Framework
- Debiasing & Cluster computing
- Cool pipelines
- A kaggle pipeline for supervised prediction.
- Spectrometer (there is an open-source hardward project on this)
- Music brainz predictions (The cool hair guy at GSoC is the one we should talk to here)
- Some bio thing?
- Collaboration with MLPack for toolkit wide performance/accuracy testing
Welcome to the Shogun wiki!
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[quick link GSoC 2016 projects](Google Summer of Code 2016 Projects)
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Readmes:
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Documents
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[Roadmaps](Project roadmaps)
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GSoC
- Getting involved
- Follow ups
- [2016 projects](Google Summer of Code 2016 Projects)
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Credits