Shogun
Science and medicineUnified and efficient Machine Learning
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Links from the organization’s published listing (2020). Older contact links may have moved.
Programs & participation
7 records across 1 programIndexed project records; missing years are not zero. Coverage
2020Google Summer of CodeAnnual program · 2 projects indexed
Source checked Sep 28, 2026
Participation imported from the GSoC Organizations archive snapshot; this historical listing is not an application-status claim.
2019Google Summer of CodeAnnual program · 1 project indexed
Source checked Sep 28, 2026
Participation imported from the GSoC Organizations archive snapshot; this historical listing is not an application-status claim.
2017Google Summer of CodeAnnual program · 4 projects indexed
- Data Project - Patient Monitoring and Decision Support using Health Data
- Fundamental Machine Learning Algorithms
- Shogun Detox II: Codebase improvements and finalization of the new Tags and Serialization frameworks.
- The Shogun Detox2
Source checked Sep 28, 2026
Participation imported from the GSoC Organizations archive snapshot; this historical listing is not an application-status claim.
2016Google Summer of CodeAnnual program · 3 projects indexed
- Fundamental ML: The usual suspects
- New Parameter Framework and Plugin Based Architecture for Shogun
- The Shogun Detox – GSoC 2016 Proposal
Source checked Sep 28, 2026
Participation imported from the GSoC Organizations archive snapshot; this historical listing is not an application-status claim.
2014Google Summer of CodeAnnual program · 8 projects indexed
- application to the idea of Variational Learning for Recommendations
- Essential Deep Learning Modules
- Fundamental Machine Learning Algorithms
- Large-Scale Multi-Label Classification
- large-scale structured prediction with approximate inference
- OpenCV Integration and Computer Vision Applications
- Shogun Missionary & Shogun in Education
- Testing and Measuring Variable Interactions With Kernels
Source checked Oct 2, 2026
Community mirror of the 2009–2015 Google Melange project archive. Original Melange project links may now redirect; the participation source retains the mirrored records. Organizations without indexed projects may be absent. Imported and normalized from Vaibhav Gupta / GSoC-Data-Analyser, MIT.
2013Google Summer of CodeAnnual program · 8 projects indexed
- Fast Reading and writing of shogun features / objects in standard file formats
- Gaussian Processes for Classification
- Implement algorithms for Blind Source Separation (BSS) and Independent Component Analysis (ICA) based on Approximate Joint Diagonalization (AJD) of matrices.
- Implement estimators of large-scale sparse Gaussian densities
- Implement Metric Learning Algorithms with Applications to Metagenomics
- Large-Scale Learning of General Structured Output Models
- My Proposal for "Large Scale Learning: loglinear time kernel expansion (aka Fast Food)"
- Proposal for "Develop interactive machine learning demos"
Source checked Oct 2, 2026
Community mirror of the 2009–2015 Google Melange project archive. Original Melange project links may now redirect; the participation source retains the mirrored records. Organizations without indexed projects may be absent. Imported and normalized from Vaibhav Gupta / GSoC-Data-Analyser, MIT.
2012Google Summer of CodeAnnual program · 8 projects indexed
- Build Generic Structured Output Learning Framework
- Built generic multiclass learning framework
- Bundle method solver for structured output learning
- Implement multitask and domain adaptation algorithms
- Implementation of latent SVM
- Implementing Gaussian Process Regession in Shogun
- Kernel based two-sample and independence test
- Various usability improvements
Source checked Oct 2, 2026
Community mirror of the 2009–2015 Google Melange project archive. Original Melange project links may now redirect; the participation source retains the mirrored records. Organizations without indexed projects may be absent. Imported and normalized from Vaibhav Gupta / GSoC-Data-Analyser, MIT.