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book

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cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

commentsmining

用户评论标签挖掘

community

A Python implementation of Girvan-Newman community detection algorithm for weighted graphs

communitydetection

Implements of community detection algorithms

ctr_prediction

CTR prediction using FM FFM and DeepFM

deep-recommender-system

深度学习在推荐系统中的应用及论文小结。

deep_learning-1

Basic Deep Learning

deep_matrix_factorization_models

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

deepcf

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

deepmf

Deep Matrix Factorization models

deepmf-1

DeepMF: Deciphering the Latent Patterns in Omics Profiles with a Deep Learning Method

deepneuralnetworksforyoutuberecommendationsimpl

youtube video recommendation（generation 4）

dien-pipline

DIEN-pipline implement

doc2vec

利用Doc2Vec计算文本相似度

exos

extracttopicsentence

基于标题分类的主题句提取方法可描述为: 给定一篇新闻报道, 计算标题与新闻主题词集的相似度, 判断标题是否具有提示性。对于提示性标题,抽取新闻报道中与其最相似的句子作为主题句; 否则, 综合利用多种特征计算新闻报道中句子的重要性, 将得分最高的句子作为主题句。

fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast_sentence_embeddings

Compute Sentence Embeddings Fast!

fastfm

fastFM: A Library for Factorization Machines

fasttext

Library for fast text representation and classification.

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 新词发现 短语提取 自动摘要 文本分类 拼音简繁

hugectr

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

korencollaborativefiltering2008

This is an implementation of the algorithm presented in Yehuda Koren's paper "Factorization Meets the Neighborhood: A multifaceted Collaborative Filtering Model"

lc-all-solutions

My own leetcode solutions by python

libfm

Library for factorization machines

machine_learning

机器学习、深度学习原理及实现

ml-1m

New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++

near-dup-detection

Near-Duplicate Detection in Python.

neo4j-python-pandas-py2neo-v3

利用pandas将excel中数据抽取，以三元组形式加载到neo4j数据库中构建相关知识图谱