invinciblejha/PyCall.jl
Package to call Python functions from the Julia language
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
Package to call Python functions from the Julia language
Julia kernel and magics for IPython
NumPy aware dynamic Python compiler using LLVM
A python wrapper for Datumbox