Fork of Pylearn to develop new features. See branch list.
仓库
jaberg 的仓库
Experimental parallel data analysis toolkit.
Deep universal probabilistic programming with Python and PyTorch
A set of benchmark problems and implementations for Python
PyOpenCL implementations for python-benchmarks
The HTML Presentation Framework
scikit-learn main repo
Image Processing SciKit (Toolbox for SciPy)
Example of how to add lazy evaluation to Image Processing SciKit (Toolbox for SciPy)
Tools used to generate the SciPy conference proceedings
Base Conference Materials
A tool for hackers who want complete control over their slide presentations
Data sets for machine learning in Python
Github fork of SMAC (v.1.0.1) from http://www.cs.ubc.ca/labs/beta/Projects/SMAC/
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012