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javacpp

The missing bridge between Java and native C++

jmatio

Java Matlab IO library - actively maintained as MatFileRW

jnf_neat

Actually usable implementation of NEAT

jsat

Java Statistical Analysis Tool, a Java library for Machine Learning

jupyshare

kaggle_ndsb2017

Kaggle datascience bowl 2017

kepler-mapper

KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.

kmbox

Kernel Methods Toolbox for Matlab/Octave

kmc2

Cython implementation of k-MC2 and AFK-MC2 seeding

knkutils

MATLAB utility functions written by Kendrick Kay

koel

A personal music streaming server that works.

kp-documentation

Documentation for all of Korora

l-bfgs-b-c

L-BFGS-B, converted from Fortran to C, with Matlab wrapper (NNLS)

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

ladder.jl

A reliable leaderboard algorithm for machine learning competitions

largevis

tsne alternative

largevis-1

LargeVis vs tsne

learninghyperspectral

This code implements self-learning classifier using an Autoencoder and a Softmax classifier and attempts to classify crops using hyperspectral data. However our current result do not outperform the state of the art.

leetcode

Leetcode solutions

lghd

Source code of LGHD: A feature descriptor for matching across non-linear intensity variations

libirwls

A parallel IRWLS library to solve SVMs and semiparametric SVMs

libui

Simple and portable (but not inflexible) GUI library in C that uses the native GUI technologies of each platform it supports.

lightning

Large-scale linear classification, regression and ranking in Python

lime

Lime: Explaining the predictions of any machine learning classifier

lime-experiments

Code for all LIME experiments / Explaining the predictions of any classifier

littlewolf

The tiny wolfenstein like software graphics engine

livecell

lowlevelprogramming-university

How to be low-level programmer

lowranksvdcodes

RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU GSL), multi-core (using Intel MKL) and GPU (using NVIDIA CUDA/CULA) architectures.

lrslibrary

(pca) Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos