Pinned Repositories
Classifaudio
Python audio feature extraction and classification (uses Theano)
DeepLearningBenchmarks
Hollywood2
Python code to interpret the hollywood2 video dataset
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
IPythonTheanoTutorials
MonteTheano
pyautodiff
Automatic differentiation for NumPy
skdata
Data sets for machine learning in Python
TheanoConv3d2d
A Conv3D implementation for Theano based on Conv2d, so that it works on GPU
TheanoLinear
jaberg's Repositories
jaberg/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
jaberg/skdata
Data sets for machine learning in Python
jaberg/pyautodiff
Automatic differentiation for NumPy
jaberg/MonteTheano
jaberg/TheanoConv3d2d
A Conv3D implementation for Theano based on Conv2d, so that it works on GPU
jaberg/scikit-learn
scikit-learn main repo
jaberg/pyro
Deep universal probabilistic programming with Python and PyTorch
jaberg/Theano
Various development branches of Theano/Theano
jaberg/dotfiles
My dotfiles
jaberg/python-benchmarks
A set of benchmark problems and implementations for Python
jaberg/HPOlib-hpconvnet
A wrapper for James Bergstras hyperopt convnet
jaberg/hyperopt-dbn
Moved to http://github.com/jaberg/hyperopt-nnet
jaberg/hyperopt-tests
jaberg/lazycontract
Python library to define declarative contracts for serialization and deserialization
jaberg/nengo
Reference implementation of the Nengo API in Python
jaberg/nengo-slam
jaberg/nengo_alt
jaberg/nengo_decl
Declarative Nengo syntax
jaberg/nengo_ocl
OpenCL-based simulator for Nengo neural models
jaberg/nengo_ocl-main
jaberg/nengo_theano
Python implementations of the NEF API
jaberg/pp
jaberg/pykit
Backend compiler for high-level typed code with first-class support for multi-dimensional arrays, objects and complex numbers.
jaberg/pyrallel
Experimental parallel data analysis toolkit.
jaberg/python-benchmarks-pyopencl
PyOpenCL implementations for python-benchmarks
jaberg/scipy-conference
Base Conference Materials
jaberg/scipy_proceedings
Tools used to generate the SciPy conference proceedings
jaberg/sigops
jaberg/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
jaberg/theano_workspace
workspace idea for theano