nfoti/boost_eigen_numpy
Public repository.
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nfoti
Discovered public repositories for nfoti in the GitHub catalog.
nfoti/pyhsmm-autoregressive
autoregressive plugin
nfoti/LANS
Implementation of the LANS algorithm from the paper "Nonparametric sparsification of complex multiscale networks".
nfoti/GPy
Gaussian processes framework in python
nfoti/pybasicbayes
Public repository.
nfoti/IJulia.jl
Julia kernel and magics for IPython
nfoti/hmm.jl
Julia implementation of hidden Markov models.
nfoti/vim-colors
A hodgepodge of vim color schemes.
nfoti/hyde-bootstrap
A starter layout for Hyde using the Twitter Bootstrap CSS/HTML/JavaScript framework
nfoti/pelican-octopress-theme
Octopress default theme copied for pelican
nfoti/Rmath
The Rmath library from R
nfoti/cythonRMath
Cython wrapper of the RMath library
nfoti/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
nfoti/Graphs.jl
Working with graphs in Julia
nfoti/PyPlot.jl
Graphics solution for Julia based on pyplot
nfoti/julia
The Julia Language: A fresh approach to technical computing.
nfoti/Debug.jl
Prototype interactive debugger for Julia
nfoti/Distributions.jl
A Julia package for probability distributions and associated funtions.
nfoti/cython_setup_template
Template for setup.py file that provides 'cleanall' rule to remove cython generated files as well as enforces using --inplace flag to build_ext and only builds x86_64 executables.
nfoti/text.jl
Julia package for text analysis
nfoti/sgd.jl
Simple examples of SGD-style computations in Julia
nfoti/Clustering.jl
Basic functions for clustering data: k-means, dp-means, etc.
nfoti/mcmc.jl
MCMC tools for Julia
nfoti/JuliaData
library for working with tabular data in Julia
nfoti/numba
NumPy aware dynamic Python compiler using LLVM
nfoti/blog
Public repository.
nfoti/nfoti.github.com
Personal page.
nfoti/oh-my-zsh
A community-driven framework for managing your zsh configuration.
nfoti/StochasticBlockmodel
Exploring inference in variants of a stochastic blockmodel for (directed) network data