96 projects with the selected classifier
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-7.5.
Containerization middleware.
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-7.5 and MKLDNN.
Automated run-time generation of user interfaces from Python functions - command-line-args, CLI, python-interactive, python-scripted, graphical (Qt GUI)
Automate the creation and provisioning of VirtualBox machines.
Ultimate Tic Tac Toe game logic (Lua and Python bindings)
%%idl magic for IPython and Jupyter notebooks, providing access to Harris Geospatial's IDL programming language.
fork of twill Web browsing language
Simple and hydraulic Modelica routing models for RTC-Tools 2.
A simple Turing machine simulator using Python.
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-8.0.
Python log crunching for PX4.
SQL statement tokenisation for the detection of literal regions.
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-8.0 and MKLDNN.
Z shell kernel for Jupyter
MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.0.
Heat templates for deploying OpenStack with OpenStack.
Puppet building rules for OpenStack images.
A cffi based lua package.
A python/modelica based simulation environment.
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