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caffe

Caffe: a Fast framework for neural networks

climin

Optimizers for machine learning

deeplearningimplementations

Implementation of recent Deep Learning papers

dejavu

Audio fingerprinting and recognition in Python

exercises

hebel

GPU-Accelerated Deep Learning Library in Python

joblib

Python function as pipeline jobs.

parakeet

Runtime compiler for numerical Python

pycallgraph

pycallgraph is a Python module that creates call graphs for Python programs.

python-elm

Extreme Learning Machine implementation in Python

pytorch-cifar

95.16% on CIFAR10 with PyTorch

ramp

Rapid Machine Learning Prototyping in Python

scikit-learn

scikit-learn: machine learning in Python

scikits.cuda

CUDA SciKit

shogun

The Shogun Machine Learning Toolbox (Source Code)

sklearn-pandas

Pandas integration with sklearn

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

tapkee

A flexible and efficient С++ template library for dimension reduction

uq360

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

vowpal_wabbit

John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm