Re-alphabetized the README

README.md

@@ -9,15 +9,15 @@ To propose a model for inclusion please submit a pull request.
 
 ## Models
 - [autoencoder](autoencoder) -- various autoencoders
+- [differential_privacy](differential_privacy) -- privacy-preserving student models from multiple teachers
+- [im2txt](im2txt) -- image-to-text neural network for image captioning.
 - [inception](inception) -- deep convolutional networks for computer vision
 - [namignizer](namignizer) -- recognize and generate names
 - [neural_gpu](neural_gpu) -- highly parallel neural computer
-- [differential_privacy](differential_privacy) -- privacy-preserving student models from multiple teachers
+- [neural_programmer](neural_programmer) -- neural network augmented with logic and mathematic operations.
 - [resnet](resnet) -- deep and wide residual networks
 - [slim](slim) -- image classification models in TF-Slim
 - [swivel](swivel) -- the Swivel algorithm for generating word embeddings
 - [syntaxnet](syntaxnet) -- neural models of natural language syntax
 - [textsum](textsum) -- sequence-to-sequence with attention model for text summarization.
 - [transformer](transformer) -- spatial transformer network, which allows the spatial manipulation of data within the network
-- [im2txt](im2txt) -- image-to-text neural network for image captioning.
-- [neural_programmer](neural_programmer) -- neural network augmented with logic and mathematic operations.