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libsvm icon libsvm

LIBSVM -- A Library for Support Vector Machines (unofficial snapshot dist mirror)

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightlda icon lightlda

Scalable, fast, and lightweight system for large-scale topic modeling

linq icon linq

Linq for list comprehension in C++

lstmvis icon lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

magrittr icon magrittr

R package to bring forward-piping features ala F#'s |> operator. Ceci n'est pas un pipe.

mapreduce-lite icon mapreduce-lite

A C++ implementaton of MapReduce without distributed filesystem

mhsmm icon mhsmm

mhsmm: Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences

miso icon miso

MISO: Mixture of Isoforms model for RNA-Seq isoform quantitation

mlpack icon mlpack

mlpack: a scalable C++ machine learning library

mxnet.jl icon mxnet.jl

MXNet Julia Package - flexible and efficient deep learning in Julia

nes icon nes

NES emulator written in Go.

nimble icon nimble

nimble package from http://r-nimble.org/

nn-topology-post icon nn-topology-post

A blog post exploring a connection between neural networks and topology

nnchclus icon nnchclus

A fast and efficient agglomerative hierarchical clustering method based on nearest neighbor chain

numpile icon numpile

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

opticvx icon opticvx

The pure-Scala IR components of OptiCVX

palm icon palm

Proximal Alternating Linearize minimization for Sparse TLS

pattern_classification icon pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pdnn icon pdnn

PDNN: A Python Toolkit for Deep Learning. http://www.cs.cmu.edu/~ymiao/pdnntk.html

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