From 26f39f041c9b3de30d3aa5c908304df9f3331e16 Mon Sep 17 00:00:00 2001 From: Justin Bayer Date: Wed, 16 Jul 2014 08:41:32 +0200 Subject: [PATCH] added breze and climin --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index a74caf6..cb2905f 100644 --- a/README.md +++ b/README.md @@ -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