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3 projects in result set.
0. Species Distribution Modelling - sdm is an extendable framework to develop species distributions models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Environment : Web Environment [Filter]
- Intended Audience : Developers [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Machine Learning (Now Filtering)
- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2014-05-26 16:09 |
1. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- Intended Audience : Other Audience [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Graphical Models [Filter]
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Registered: 2010-12-28 07:13 |
2. Model-Based Network Analysis - Model-based solutions for network analysis. In particular, probabilistic tools for investigating context-specific activation patterns and network topology. |
- Development Status : 1 - Planning [Filter]
- Environment : Other Environment [Filter]
- Environment : Win32 (MS Windows) [Filter]
- Environment : X11 Applications [Filter]
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- License : Other/Proprietary License [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Bioinformatics [Filter]
- Topic : Machine Learning (Now Filtering)
- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
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Registered: 2010-06-14 20:56 |