mutual-ai Goto Github PK

labelmeannotationtool

Source code for the LabelMe annotation tool.

labhacks

Resources for data driven neuroscientists.

largevis

An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R

lasagne

Lightweight library to build and train neural networks in Theano

latex-examples

Examples for the usage of LaTeX

latex-graphics-connected_network

Layered tikZ graphic of a connected neural network

learning-from-data

记录Learning from data一书中的习题解答

learning-music-style

An attempt to extract style and content from music in a separable way

learningtolearnbohp

Backpropagation training of neural networks with Hebbian plastic connections

lecm-demons-spectral-demons-log-demons

Medical Image Registration Based on Log-Euclidean Covariance Matrices Descriptor

lecture_optimization

leida

Leading Eigenvector Dynamics Analysis

lenet-5

implement lenet-5 in lecun-98 by python

lenet-6

lenet5

lfda

R package for Local Fisher Discriminant Analysis

libadmm

A Library of Alternating Direction Method of Multipliers for Sparse and Low-rank Optimization

liblinear

librotensorflow

Tutorial básico de uso de TensorFlow

libsvm

libtlda

Library of transfer learning and domain adaptation classifiers.

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.

lightnet

deep learning in hundreds of lines of code

lightspeed

lightspeed matlab toolbox

lihang-code

《统计学习方法》的代码实现

lime

Lime: Explaining the predictions of any machine learning classifier

linear-algebra-with-python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistan

logitsgl

Multi-label logistic regression with sparse parameter and feature selection, suitable for high dimensional data analysis

logreg

Logistic regression algorithms

lowrankmatrixdecompositioncodes

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.