sesas/django-rest-framework
Awesome web-browseable Web APIs.
Developer Profile
sesas
Discovered public repositories for sesas in the GitHub catalog.
sesas/django-extensions
This is a repository for collecting global custom management extensions for the Django Framework.
sesas/MockingDj
Django Models Mocking library
sesas/django
The Web framework for perfectionists with deadlines.
sesas/Meta_Class_Test
Testing some metaprogramming for classes
sesas/django-tastypie
Creating delicious APIs for Django apps since 2010. v0.10.0
sesas/hibernate-orm
Hibernate's core Object/Relational Mapping functionality
sesas/django-rest-swagger
Swagger Documentation Generator for Django REST Framework
sesas/django-skel
A modern Django (1.4) project skeleton.
sesas/djenesis-template
A Django Project Template intended for use with Djenesis
sesas/virtualenvwrapper-win
Port of Doug Hellmann's virtualenvwrapper to Windows batch scripts
sesas/Django-API-Playground
Django-API-Playground
sesas/Unipath
An object-oriented approach to Python file/directory operations.
sesas/gameday_api
A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch thrown. The Gameday API makes it easy for Ruby developers to work with all this statistical information. The test directory included with the source code contains many examples of how the API can be used. If you prefer to use SVN, the gameday_api is also available via an SVN repository at: http://code.google.com/p/gamedayapi/ If you like this project, be sure to also check out the Baseball-Tracker project also hosted on GitHub. Baseball-Tracker is a web application that uses the gameday_api. You can find a hosted version of Baseball Tracker at http://baseballstatz.heroku.com
sesas/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
sesas/modified_theano_tutorials
Public repository.
sesas/pybrain
Public repository.
sesas/deep-learning-scene-recognition
Using convolutional deep belief nets to learn natural scene representations
sesas/UltraFastDuplicateFilesFinder
Takes a list of file from stdin. And print the duplicate ones. Like fdupes on steroids.
sesas/Flashcards_pro
This is a teaching tool written in Python. It allows to copy and paste columns of text and be quizzed for each row at random. You can also import a csv file into the program. You can change the columns to be quizzed on by pressing CTRL+C after you imported the terms you want to learn and by selecting the -c option.
sesas/Dice-Roller-
This is a dice roller in Python for boardgames like Monopoly, and Settlers of the Catan, etc.