From def63a8c9a51612fc1c31dbaba711857f041da66 Mon Sep 17 00:00:00 2001 From: William Falcon Date: Mon, 27 Mar 2017 08:32:21 -0400 Subject: [PATCH] Update README.md moved to correct python section. sorry about that! --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4702402..61c8563 100644 --- a/README.md +++ b/README.md @@ -631,7 +631,6 @@ For a list of free-to-attend meetups and local events, go [here](https://github. on MNIST digits](http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html) - Training a deep autoencoder or a classifier on MNIST digits[DEEP LEARNING] * [Convolutional-Recursive Deep Learning for 3D Object Classification](http://www.socher.org/index.php/Main/Convolutional-RecursiveDeepLearningFor3DObjectClassification) - Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING] -* [Image-to-Image Translation with Conditional Adversarial Networks](https://github.com/williamFalcon/pix2pix-keras) - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] * [t-Distributed Stochastic Neighbor Embedding](http://homepage.tudelft.nl/19j49/t-SNE.html) - t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. * [Spider](http://people.kyb.tuebingen.mpg.de/spider/) - The spider is intended to be a complete object orientated environment for machine learning in Matlab. * [LibSVM](http://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab) - A Library for Support Vector Machines @@ -792,6 +791,7 @@ on MNIST digits[DEEP LEARNING] * [Crab](https://github.com/muricoca/crab) - A flexible, fast recommender engine. * [python-recsys](https://github.com/ocelma/python-recsys) - A Python library for implementing a Recommender System. * [thinking bayes](https://github.com/AllenDowney/ThinkBayes) - Book on Bayesian Analysis +* [Image-to-Image Translation with Conditional Adversarial Networks](https://github.com/williamFalcon/pix2pix-keras) - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] * [Restricted Boltzmann Machines](https://github.com/echen/restricted-boltzmann-machines) -Restricted Boltzmann Machines in Python. [DEEP LEARNING] * [Bolt](https://github.com/pprett/bolt) - Bolt Online Learning Toolbox * [CoverTree](https://github.com/patvarilly/CoverTree) - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree