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lambdamart-1

Python implementation of LambdaMart

lark

LAnguage Representations Kit

layered

Clean implementation of feed forward neural networks

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

lda-1

Three open source versions of LDA with collapsed Gibbs Sampling, modified by nanjunxiao

lda-2

Latent dirichlet allocation (LDA) for datamicroscopes

lda2vec

lda2vec-tensorflow

Tensorflow 1.5 implementation of Chris Moody's Lda2vec, adapted from @meereeum

lda_bert

LDA/BERT Topic Modeler

learn_dssm

learning2ask_typeddecoder

learning2rank

Learning to rank with neuralnet - RankNet and ListNet

libffm

A Library for Field-aware Factorization Machines

libfm

Library for factorization machines

liblinear

librecommender

Versatile End-to-End Recommender System (TensorFlow Based)

libsvm

libwhale

libwhale is a c++ common library, contain network/database/log/thread/file/directory/datatime/threadpool etc.

lightctr

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

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.

lightlda

Scalable, fast, and lightweight system for large-scale topic modeling

lime

Lime: Explaining the predictions of any machine learning classifier

listwiseranking

lmsharp

Language model

ltp

Language Technology Platform

machine-learning-from-scratch

常用机器学习的算法简洁实现

machine-learning-practice

machine learning practice

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

margin-softmax

keras sparse implement of margin-softmax

marian

Fast Neural Machine Translation in C++