mlpack

a fast, flexible machine learning library

Technologies

c++
python
machine learning
deep learning
templates
openmp
C++ template metaprogramming

Topics

machine learning
data mining
fast algorithms
data science
deep learning
algorithms
reinforcement learning
optimization
neighbor-search
linear algebra
embedded
ai
Neural networks
https://www.mlpack.org
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Projects

Contributor

nilay_jain

We need to go deeper - GoogLeNet

To implement the components of the GoogLeNet architecture (the inception layer, global average pooling, and other pieces), and then build GoogLeNet...

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Contributor

mentekid

Approximate Nearest Neighbor Search: Implementation of Multiprobe LSH and LSH Tuning

Approximate Nearest Neighbor Search solutions become appealing in problems where dimensionality increases. Locality Sensitive Hashing is a popular...

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Contributor

Bang

Neuroevolution Algorithms Implementation

Neuroevolution algorithms search optimal solutions by evolution rather than learning, which enables them to deal with large complex problems. In this...

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Contributor

Marcos Pividori

Approximate Nearest Neighbor Search

Mlpack provides an extensible, flexible exact nearest neighbor search implementation, with the ability to do dual-tree k-NN search. However, there is...

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Contributor

KeonKim

Dataset and Experimentation Tools

This GSoC project aims to develop a tool for managing dataset and experimenting the data. This project is important because most of the time used...

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Contributor

lozhnikov

R+ trees, Hilbert R trees, vantage point trees, random projection trees, UB trees implementation

Many methods of the mlpack machine learning library (such as nearest neighbor search, range search and others) are based on dual-tree algorithms...

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