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Developer Profile

mrgloom

Discovered public repositories for mrgloom in the GitHub catalog.

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mrgloom/ConvNet

Convolutional Neural Networks written on Matlab and C++ as mex files. Both versions work identically.

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mrgloom/gpumatrix

A matrix and array operation library on GPU with Eigen compatible interface

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mrgloom/Pegasos-1

SVM Solver in Python (http://www.cs.huji.ac.il/~shais/papers/ShalevSiSrCo10.pdf)

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mrgloom/go-pegasos

An implementation of the Pegasos algorithm for solving Support Vector Machines in Go

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mrgloom/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

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mrgloom/PyTables

PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This a git-svn clone of the Pro version recently released under a BSD-flavored license by Francesc Alted!

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mrgloom/MSongsDB

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

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mrgloom/PyFeast

A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR

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mrgloom/CUV

Matrix library for CUDA in C++ and Python

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mrgloom/code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

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mrgloom/libpabod

libPaBOD: a C++ library for PArt Based Object Detection on images.

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mrgloom/DeepLearnToolbox

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.

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