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lenskit

LensKit recommender toolkit.

lesmmrc

2018年“莱斯杯”军事智能机器阅读挑战赛（Top 5% 14th/247）

levelgraph

Graph database JS style for Node.js and the Browser. Built upon LevelUp and LevelDB.

levenshtein-sequence-python

List all possible Levenshtein (i.e., edit) sequences from one string to another with optimal number of inserts/deletes/replaces.

lexdecomp-semantic

LexDecomp is an implementation of the Answer Selection (AS) model proposed in the paper Sentence Similarity Learning by Lexical Decomposition and Composition, by (Wang et al., 2016).

libble-spark

libffm

libfm

Library for factorization machines

librec

LibRec: A Java Library for Recommender Systems, see

lic2019-dureader2.0-rank2

Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.

lichee

一个多模态内容理解算法框架，其中包含数据处理、预训练模型、常见模型以及模型加速等模块。

lida

LIDA: Lightweight Interactive Dialogue Annotator (in EMNLP 2019)

lif

Learning to Identify Follow-up Questions in Conversational Question Answering

lifelines

Survival analysis in Python

lightfm_recommendation

A Python implementation of LightFM, a hybrid recommendation algorithm.

lightgbm

LightGBM is 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.

lightgbm-doc-zh

LightGBM 中文文档

lightning

Large-scale linear classification and regression in Python/Cython.

lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

lime

Lime: Explaining the predictions of any machine learning classifier

limes-dev

Link Discovery Framework for Metric Spaces.

lin-train

Linear Regression Feature Selection and Trainer

linear-attention-recurrent-neural-network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

linearcrf-python

Implemented a Linear Chain CRF to perform Chinese Word Segmentation

lingproject

Python web application using bottle providing a natural language interface for SPARQL using quepy

linguistically-informed-specificity-and-semantic-plausibility-for-dialogue-generation

linkurious.js

A Javascript toolkit to speed up the development of graph visualization and interaction applications.

linxgboost

Extension of the awesome XGBoost to linear models at the leaves

lise

Rules-based engine for life sims

llm_large_context

Large Context Transformers