| #!/usr/bin/env python | |
| """ | |
| Counts the number of tombstones in a keyspace.table and reports the top N highest counts | |
| tombstone_count.py | |
| [-h] This help screen | |
| [--data-dir DATA_DIR] The C* data directory (/var/lib/cassandra/data) | |
| [--top-k TOP_K] The top number of keys with highest tombstone counts to display. | |
| keyspace The keyspace that contains the table |
I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)
Note: this was written in April/May 2014 and the API may have changed since. I have nothing to do with Tinder, nor their API, and I do not offer any support for anything you may build on top of this
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman