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machine-learning
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added breze and climin

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Justin Bayer 2014-07-16 08:41:32 +02:00
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@ -229,6 +229,7 @@ on MNIST digits[DEEP LEARNING]
* [CoverTree](https://github.com/patvarilly/CoverTree) - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
* [nilearn](https://github.com/nilearn/nilearn) - Machine learning for NeuroImaging in Python
* [Shogun](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox
* [breze](https://github.com/breze-no-salt/breze) - Theano based library for deep and recurrent neural networks
#### Data Analysis / Data Visualization
@ -273,6 +274,7 @@ on MNIST digits[DEEP LEARNING]
* [group-lasso](https://github.com/fabianp/group_lasso) - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model
* [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
#### Kaggle Competition Source Code