jaberg

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

skdata

Data sets for machine learning in Python

pyautodiff

Automatic differentiation for NumPy

MonteTheano

TheanoConv3d2d

A Conv3D implementation for Theano based on Conv2d, so that it works on GPU

scikit-learn

scikit-learn main repo

pyro

Deep universal probabilistic programming with Python and PyTorch

Theano

Various development branches of Theano/Theano

dotfiles

My dotfiles

python-benchmarks

A set of benchmark problems and implementations for Python

HPOlib-hpconvnet

A wrapper for James Bergstras hyperopt convnet

hyperopt-dbn

Moved to http://github.com/jaberg/hyperopt-nnet

hyperopt-tests

lazycontract

Python library to define declarative contracts for serialization and deserialization

nengo

Reference implementation of the Nengo API in Python

nengo-slam

nengo_alt

nengo_decl

Declarative Nengo syntax

nengo_ocl

OpenCL-based simulator for Nengo neural models

nengo_ocl-main

nengo_theano

Python implementations of the NEF API

pp

pykit

Backend compiler for high-level typed code with first-class support for multi-dimensional arrays, objects and complex numbers.

pyrallel

Experimental parallel data analysis toolkit.

python-benchmarks-pyopencl

PyOpenCL implementations for python-benchmarks

scipy-conference

Base Conference Materials

scipy_proceedings

Tools used to generate the SciPy conference proceedings

sigops

spearmint

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

theano_workspace

workspace idea for theano