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knowledgegraphembedding

komodiaahocorasick

A string set matching algorithm

lad

Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)

langchangetrack

Package for Statistically significant linguistic change

lastfm-dataset-1k

Last.fm Dataset - 1K users

latent-dirichlet-allocation

An implementation of latent Dirichlet allocation (LDA) inference using Gibbs sampling

lda-svi

an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference

lda4rec

🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.

lda_cavi

Implementation of Coordinate Ascent Variational Inference (CAVI) for Latent Dirichlet Allocation (LDA)

lda_mglda

LDA and Multi-grain LDA implementations

lda_thesis

Hierarchical, multi-label topic modelling with LDA

learn-to-cluster

Learning to Cluster Faces on an Affinity Graph (CVPR 2019)

learn_logic_baseline

learning-from-defaults

Implementation of algorithms from: O. Kuzelka, J. Davis and S. Schockaert, Learning Possibilistic Logic Theories from Default Rules, IJCAI 2016

lect-pub

leetcode

LeetCode题解，151道题完整版

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

ler

Laplacian Eigenmaps for Regression

lftm

Improving Topic Models with Latent Feature Word Representations

libact

Pool-based active learning in Python

libbitcoin-blockchain

Bitcoin Blockchain Library

libfm

Library for factorization machines

liblinear

Weston Watkins linear multiclass SVM extension for the popular LIBLINEAR library.

libmfcc

Automatically exported from code.google.com/p/libmfcc

librec

LibRec: A Leading Java Library for Recommender Systems, see

libsdca

Multiclass classification based on stochastic dual coordinate ascent

libsvm

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.

lime

Lime: Explaining the predictions of any machine learning classifier

linalg

常用线性代数算法的python实现。包括lu、svd、qr、diagonalization、inv、pinv、lstsq、solve Ax、solve nullspace