From ae4d24ce0471229bcd5a9fc6f1f6e5b14a20ada2 Mon Sep 17 00:00:00 2001 From: Ted Fujimoto Date: Fri, 1 Aug 2014 18:09:35 -0700 Subject: [PATCH] More good stuff --- README.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/README.md b/README.md index 220aece0..30d33a07 100644 --- a/README.md +++ b/README.md @@ -154,6 +154,7 @@ For a list of free machine learning books available for download, go [here](http #### Data Analysis / Data Visualization * [Incanter](http://incanter.org/) - Incanter is a Clojure-based, R-like platform for statistical computing and graphics. +* [PigPen](https://github.com/Netflix/PigPen) - Map-Reduce for Clojure. ## Erlang @@ -446,6 +447,7 @@ on MNIST digits[DEEP LEARNING] * [Machine Learning Module](https://github.com/josephmisiti/machine-learning-module) - Class on machine w/ PDF,lectures,code * [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind. * [Pattern Recognition Toolbox](https://github.com/newfolder/PRT) - A complete object-oriented environment for machine learning in Matlab. +* [Pattern Recognition and Machine Learning](https://github.com/PRML/PRML) - This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop. #### Data Analysis / Data Visualization @@ -537,6 +539,7 @@ on MNIST digits[DEEP LEARNING] * [mrjob](https://pythonhosted.org/mrjob/) - A library to let Python program run on Hadoop. * [SKLL](https://github.com/EducationalTestingService/skll) - A wrapper around scikit-learn that makes it simpler to conduct experiments. * [neurolab](https://code.google.com/p/neurolab/) - https://code.google.com/p/neurolab/ +* [Spearmint](https://github.com/JasperSnoek/spearmint) - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012. #### Data Analysis / Data Visualization @@ -562,6 +565,9 @@ on MNIST digits[DEEP LEARNING] * [Kartograph.py](https://github.com/kartograph/kartograph.py) - Rendering beautiful SVG maps in Python. * [pygal](http://pygal.org/) - A Python SVG Charts Creator. * [pycascading](https://github.com/twitter/pycascading) +* [Petrel](https://github.com/AirSage/Petrel) - Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python. +* [Blaze](https://github.com/ContinuumIO/blaze) - NumPy and Pandas interface to Big Data. +* [emcee](https://github.com/dfm/emcee) - The Python ensemble sampling toolkit for affine-invariant MCMC. #### Misc Scripts / iPython Notebooks / Codebases @@ -586,6 +592,10 @@ on MNIST digits[DEEP LEARNING] * [mne-python-notebooks](https://github.com/mne-tools/mne-python-notebooks) - IPython notebooks for EEG/MEG data processing using mne-python * [pandas cookbook](https://github.com/jvns/pandas-cookbook) - Recipes for using Python's pandas library * [climin](https://github.com/BRML/climin) - Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others +* [Allen Downey’s Data Science Course](https://github.com/AllenDowney/DataScience) - Code for Data Science at Olin College, Spring 2014. +* [Allen Downey’s Think Bayes Code](https://github.com/AllenDowney/ThinkBayes) - Code repository for Think Bayes. +* [Allen Downey’s Think Complexity Code](https://github.com/AllenDowney/ThinkComplexity) - Code for Allen Downey's book Think Complexity. +* [Allen Downey’s Think OS Code](https://github.com/AllenDowney/ThinkOS) - Text and supporting code for Think OS: A Brief Introduction to Operating Systems. #### Kaggle Competition Source Code @@ -805,6 +815,7 @@ Angle Regression * [bioscala](https://github.com/bioscala/bioscala) - Bioinformatics for the Scala programming language * [BIDMach](https://github.com/BIDData/BIDMach) - CPU and GPU-accelerated Machine Learning Library. * [Figaro](https://github.com/p2t2/figaro) - a Scala library for constructing probabilistic models. +* [h2o-sparkling](https://github.com/0xdata/h2o-sparkling) - H2O and Spark interoperability. ## Swift