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Primary developers:
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Michael S. Gashler Eric Moyer Michael R. Smith |
Generous support for development of Waffles has come from:
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The Neural Networks and Machine Learning Lab at 
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The Predictive Modeling and Machine Learning Lab at 
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A Tesla K40 video card was donated by NVIDIA 
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Individual Contributors:
| Will Bendick | Reported a compile issue with g++ 4.6 and helped fix it. |
| Andrew Borthwick | Found a bug in the GDecisionTree class, added MIN_PREDICT feature. |
| Ashod Donikian | Found bugs in GBayesianModelAveraging and GDiscretize. |
| Helaman Ferguson | Helped me port it to the Mac. |
| Desire' Gashler | Several code refinements. |
| Jonas Gehring | Contributed a patch to make it build with g++ 4.7. |
| Dmitriy Krylov | Made a feature suggestion (GDom::writeJsonCpp) and made Waffles build on FreeBSD. |
| Olaf Krzikalla | Fixed a bug in KdTree_Compare_Nodes_Functor. |
| Daniel McEnnis | Found a design-flaw in our implementation of k-means. |
| Jean-Pierre Moreau | Contributed some code for linear programming. |
| Roger Pack | A few bug fixes, and did some work on the HTTP class. |
| Vikram Rangnekar | Improved makefiles for Mac builds. |
| Vojtech Rylko | Added a tool to visualize random forests. |
| Tang Yan | Found a bug in the GDecisionTree class. |
| Ivan Yanikov | Submitted a patch to improve range checking, and fix an uninitialized values bug. |
| Sami Sallinen | Fixed an issue in GMatrix that caused a reported memory leak. |
| Xiaobo Gu | Fixed several Win64 compile issues. |
| Seok Lee | Found a bug in the time-stamp parser. |
| Krasimir Vanev | Fixed a compile bug, and reported a hanging bug. |
| Vladimir Tzankov | Implemented a patch to make GTokenizer work with named pipes. Also, found a bug with serializing GWag. |
| Tomasz Lewowski | Fixed a memory leak in GKMeans and a couple Windows compilation bugs. |
Indirectly contributing projects:
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Free hosting for this project generously provided by: Thanks to the GNU project for developing Linux, g++, and other tools used to develop this code: 
Some of our code uses the PNG library to do image compression: 
Some of the demo apps use: 
One of our demos uses the bullet rigid-body physics engine: 
And, of course, numerous dedicated researchers worked hard to develop the algorithms we implement, and others before them worked to build the foundations of science upon which they built. |
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