diff --git a/README.md b/README.md index c69831a..de85d81 100644 --- a/README.md +++ b/README.md @@ -645,7 +645,8 @@ on MNIST digits[DEEP LEARNING] * [Featureforge](https://github.com/machinalis/featureforge) A set of tools for creating and testing machine learning features, with a scikit-learn compatible API * [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark * [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy. -* [SimpleAI](https://github.com/simpleai-team/simpleai) Python implementation of many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library. +* [metric-learn](https://github.com/all-umass/metric-learn) - A Python module for metric learning. +* [SimpleAI](http://github.com/simpleai-team/simpleai) Python implementation of many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library. * [astroML](http://www.astroml.org/) - Machine Learning and Data Mining for Astronomy. * [graphlab-create](http://graphlab.com/products/create/docs/) - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame. * [BigML](https://bigml.com) - A library that contacts external servers. @@ -708,6 +709,7 @@ on MNIST digits[DEEP LEARNING] * [vincent](https://github.com/wrobstory/vincent) - A Python to Vega translator. * [d3py](https://github.com/mikedewar/d3py) - A plottling library for Python, based on [D3.js](http://d3js.org/). * [ggplot](https://github.com/yhat/ggplot) - Same API as ggplot2 for R. +* [ggfortify](https://github.com/sinhrks/ggfortify) - Unified interface to ggplot2 popular R packages. * [Kartograph.py](https://github.com/kartograph/kartograph.py) - Rendering beautiful SVG maps in Python. * [pygal](http://pygal.org/) - A Python SVG Charts Creator. * [PyQtGraph](https://github.com/pyqtgraph/pyqtgraph) - A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.