[mlpack-git] master: Add new contributors. (1e174aa)
gitdub at mlpack.org
gitdub at mlpack.org
Thu Mar 24 15:36:18 EDT 2016
Repository : https://github.com/mlpack/mlpack.org
On branch : master
Link : https://github.com/mlpack/mlpack.org/compare/f24619ed9d5d7d8b4d310e1525d1c37be2c1d70d...1e174aa8e758f41fbf6b665c31f58856e3b5389f
>---------------------------------------------------------------
commit 1e174aa8e758f41fbf6b665c31f58856e3b5389f
Author: Ryan Curtin <ryan at ratml.org>
Date: Thu Mar 24 15:36:18 2016 -0400
Add new contributors.
>---------------------------------------------------------------
1e174aa8e758f41fbf6b665c31f58856e3b5389f
about.html | 60 +++++++++++++++++++++++++++++++-----------------------------
1 file changed, 31 insertions(+), 29 deletions(-)
diff --git a/about.html b/about.html
index 1c62623..2f129f4 100644
--- a/about.html
+++ b/about.html
@@ -77,93 +77,93 @@ within <font class="whitebold">mlpack</font>, along with relevant links to
papers, API documentation, tutorials, or other references.</p>
<ul>
<li>Collaborative filtering (with many decomposition techniques) (<a
-href="doxygen.php?doc=namespacemlpack_1_1cf.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1cf.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Collaborative_filtering"
class="lilink">wiki</a>)</li>
<li>Decision stumps (one-level decision trees) (<a
-href="doxygen.php?doc=namespacemlpack_1_1decision__stump.html"
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1decision__stump.html"
class="lilink">api</a>, <a href="papers/ds.pdf">paper</a>)</li>
<li>Density estimation trees (<a
-href="doxygen.php?doc=namespacemlpack_1_1det.html">api</a>, <a
-href="doxygen.php?doc=dettutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1det.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=dettutorial.html">tutorial</a>, <a
href="papers/det.pdf">paper</a>)</li>
<li>Euclidean minimum spanning tree calculation (<a
-href="doxygen.php?doc=namespacemlpack_1_1emst.html">api</a>, <a
-href="doxygen.php?doc=emst_tutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1emst.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=emst_tutorial.html">tutorial</a>, <a
href="papers/emst.pdf">paper</a>)</li>
<li>Gaussian mixture models (<a
-href="doxygen.php?doc=namespacemlpack_1_1gmm.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1gmm.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Gaussian_mixture_model">wiki</a>)</li>
<li>Hidden Markov models (<a
-href="doxygen.php?doc=namespacemlpack_1_1hmm.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1hmm.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Hidden_Markov_Model">wiki</a>)</li>
<li>Kernel Principal Components Analysis (optionally with sampling) (<a
-href="doxygen.php?doc=namespacemlpack_1_1kpca.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1kpca.html">api</a>, <a
href="papers/kpca.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Kernel_principal_component_analysis"
class="lilink">wiki</a>)</li>
<li>k-Means clustering (with several accelerated algorithms) (<a
-href="doxygen.php?doc=namespacemlpack_1_1kmeans.html">api</a>, <a
-href="doxygen.php?doc=kmtutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1kmeans.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=kmtutorial.html">tutorial</a>, <a
href="http://en.wikipedia.org/wiki/K-means_clustering">wiki</a>)</li>
<li>Least-angle regression (LARS/LASSO) (<a
-href="doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
href="papers/lars.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Least-angle_regression">wiki</a>)</li>
<li>Linear regression (simple least-squares) (<a
-href="doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Linear_regression">wiki</a>)</li>
<li>Local coordinate coding (<a
-href="doxygen.php?doc=namespacemlpack_1_1lcc.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1lcc.html">api</a>, <a
href="papers/lcc.pdf">paper</a>)</li>
<li>Locality-sensitive hashing for approximate nearest neighbor search (<a
-href="doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
href="papers/lsh.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Locality-sensitive_hashing">wiki</a>)</li>
<li>Logistic regression (<a
-href="doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1regression.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Logistic_regression">wiki</a>)</li>
<li>Max-kernel search (<a
-href="doxygen.php?doc=namespacemlpack_1_1fastmks.html">api</a>,
-<a href="doxygen.php?doc=fmkstutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1fastmks.html">api</a>,
+<a href="docs/mlpack-2.0.1/doxygen.php?doc=fmkstutorial.html">tutorial</a>, <a
href="papers/fmks.pdf">paper</a>)</li>
<li>Naive Bayes classifier (<a
-href="doxygen.php?doc=namespacemlpack_1_1naive__bayes.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1naive__bayes.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier">wiki</a>)</li>
<li>Nearest neighbor search with dual-tree algorithms (<a
-href="doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
-href="doxygen.php?doc=nstutorial.html">tutorial</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1neighbor.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=nstutorial.html">tutorial</a>, <a
href="papers/ns.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Nearest_neighbor_search">wiki</a>)</li>
<li>Neighborhood components analysis (<a
-href="doxygen.php?doc=namespacemlpack_1_1nca.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1nca.html">api</a>, <a
href="papers/nca.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Neighborhood_components_analysis"
class="lilink">wiki</a>)</li>
<li>Non-negative matrix factorization (<a
-href="doxygen.php?doc=namespacemlpack_1_1amf.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1amf.html">api</a>, <a
href="papers/nmf.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Nonnegative_matrix_factorization"
class="lilink">wiki</a>)</li>
<li>Perceptrons (<a
-href="doxygen.php?doc=namespacemlpack_1_1perceptron.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1perceptron.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Perceptron">wiki</a>)</li>
<li>Principal components analysis (PCA) (<a
-href="doxygen.php?doc=namespacemlpack_1_1pca.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1pca.html">api</a>, <a
href="http://en.wikipedia.org/wiki/Principal_components_analysis">wiki</a>)</li>
<li>RADICAL (independent components analysis) (<a
-href="doxygen.php?doc=namespacemlpack_1_1radical.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1radical.html">api</a>, <a
href="papers/radical.pdf">paper</a>)</li>
<li>Range search with dual-tree algorithms (<a
-href="doxygen.php?doc=namespacemlpack_1_1range.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1range.html">api</a>, <a
href="doxygen.php?doc=rstutorial.html">tutorial</a>, <a
href="papers/rs.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Range_search">wiki</a>)</li>
<li>Rank-approximate nearest neighbor search (<a
-href="doxygen.php?doc=classRASearch.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=classRASearch.html">api</a>, <a
href="papers/rann.pdf">paper</a>)</li>
<li>Sparse coding with dictionary learning (<a
-href="doxygen.php?doc=namespacemlpack_1_1sparse__coding.html">api</a>, <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=namespacemlpack_1_1sparse__coding.html">api</a>, <a
href="papers/sparse_coding.pdf">paper</a>, <a
href="http://en.wikipedia.org/wiki/Sparse_coding">wiki</a>)</li>
</ul>
@@ -227,6 +227,8 @@ href="#sup1"><sup>1</sup></a></li>
<li><a href="http://thesundayprogrammer.com/">Joseph Mariadassou</a></li>
<li>Pavel Zhigulin</li>
<li>Dhawal Arora</li>
+<li>Alexander Leinoff</li>
+<li>Palash Ahuja</li>
</ul>
<p>Interested in contributing? See <a href="involved.html">this page</a> for
information on how to get involved.</p>
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