Projects

mltool

Machine Learning Toolkit

Haskell Machine Learning Toolkit includes various methods of supervised learning: linear regression, logistic regression, SVN, neural networks, etc. as well as some methods of unsupervised methods: K-Means and PCA.

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Source code: github

Astro

Amateur astronomical computations

Amateur astronomical computations: rise and set times and azimuths, coordinates, distances, angular sizes and other parameters of the Sun, the Moon, planets and stars.

Web UI: Astro UI.

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Source code: github

Raft

Implementation of a consensus algorithm Raft

The implementation supports basic features of the algorithm: leader election and log replication.

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Source code: github

Optimer

Discrete Optimization Library

Optimer library implements Branch and Bound Method along with various heuristics.

Related tags: optimer

Source code: github

FsStats

Basic statistics with some probability library

Includes common distributions (Bernoulli, Binomial, Poisson, Student’s and Normal), random number generators from some of the distributions, summary statistics for a sample, Z-Test, Student’s T-Test, special functions (Error, Gamma, Beta and Regularized Incomplete Beta).

Web UI: Statistics.

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Source code: github

MixVM

MIX Virtual Machine

Implementation of MIX Virtual Machine.

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Source code: github