add images and begin releases file

5 files changed, 46 insertions, 0 deletions

diff --git a/README.md b/README.md
index d340068..3b59eaa 100644
--- a/README.md
+++ b/README.md
@@ -123,6 +123,10 @@ Here is a list of the Python notebooks available [here](https://github.com/rflam
 * [OT mapping estimation for domain adaptation](https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping.ipynb)
 * [OT mapping estimation for color transfer in images](https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb)
 * [Wasserstein Discriminant Analysis](https://github.com/rflamary/POT/blob/master/notebooks/plot_WDA.ipynb)
+* [Gromov Wasserstein](https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov.ipynb)
+* [Gromov Wasserstein Barycenter](https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov_barycenter.ipynb)
+
+
 
 You can also see the notebooks with [Jupyter nbviewer](https://nbviewer.jupyter.org/github/rflamary/POT/tree/master/notebooks/).
 
diff --git a/RELEASES.md b/RELEASES.md
new file mode 100644
index 0000000..f00e704
--- /dev/null
+++ b/RELEASES.md
@@ -0,0 +1,42 @@
+# POT Releases
+
+## V0.1.11 New years resolution
+*5 Jan 2017*
+
+* Add sphinx gallery for better documentation
+* Small efficiency tweak in sinkhorn
+* Add simple tic() toc() functions for timing
+
+
+## V0.1.10 
+*7 Nov 2016*
+* numerical stabilization for sinkhorn (log domain and epsilon scaling)
+
+## V0.1.9 DA classes and mapping
+*4 Nov 2016*
+
+* Update classes and examples for domain adaptation
+* Joint OT matrix and mapping estimation
+
+## V0.1.7
+*31 Oct 2016*
+
+* Original Domain adaptation classes
+
+
+
+## PyPI version 0.1.3
+
+* pipy works
+
+## First pre-release
+*28 Oct 2016*
+
+It provides the following solvers:
+* OT solver for the linear program/ Earth Movers Distance [1].
+* Entropic regularization OT solver  with Sinkhorn Knopp Algorithm [2].
+* Bregman projections for Wasserstein barycenter [3] and unmixing [4].
+* Optimal transport for domain adaptation with group lasso regularization [5]
+* Conditional gradient [6] and Generalized conditional gradient for regularized OT [7].
+
+Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder.
diff --git a/docs/source/auto_examples/images/thumb/sphx_glr_plot_gromov_barycenter_thumb.png b/docs/source/auto_examples/images/thumb/sphx_glr_plot_gromov_barycenter_thumb.png
new file mode 100644
index 0000000..85a94ff
--- /dev/null
+++ b/docs/source/auto_examples/images/thumb/sphx_glr_plot_gromov_barycenter_thumb.png
diff --git a/docs/source/auto_examples/images/thumb/sphx_glr_plot_gromov_thumb.png b/docs/source/auto_examples/images/thumb/sphx_glr_plot_gromov_thumb.png
new file mode 100644
index 0000000..26b0b2f
--- /dev/null
+++ b/docs/source/auto_examples/images/thumb/sphx_glr_plot_gromov_thumb.png
diff --git a/docs/source/auto_examples/images/thumb/sphx_glr_plot_otda_semi_supervised_thumb.png b/docs/source/auto_examples/images/thumb/sphx_glr_plot_otda_semi_supervised_thumb.png
new file mode 100644
index 0000000..e1b5863
--- /dev/null
+++ b/docs/source/auto_examples/images/thumb/sphx_glr_plot_otda_semi_supervised_thumb.png