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Fan Ru's Projects

network_anomaly_detection icon network_anomaly_detection

基于Django Restframework的异常检测系统,分析服务为Spark SQL和Spark Mllib,每天通过自动跑定时job从全量数据中导入正常数据供算法模型训

pytorch_bert_vec icon pytorch_bert_vec

一条命令产生bert、albert句向量,用于相似度计算和文本分类等。

recommender icon recommender

基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型,结合专业运营人员的业务经营,发掘潜在用户,进行推荐营销召回。

scanbackdoor icon scanbackdoor

Webshell扫描工具,通过各种规则和算法实现服务器脚本后门查杀

scbert icon scbert

Sentence Clustering with BERT project

simplerestfulml icon simplerestfulml

基于python3.6 + tornado 实现简单的 RESTful API,用于机器学习模型部署和调用。

tail-with-x-bert icon tail-with-x-bert

Extreme Multi-label Text Classification based on X-BERT with GCN and Clustering modules

textmatch icon textmatch

基于Pytorch的,中文语义相似度匹配模型(ABCNN、Albert、Bert、BIMPM、DecomposableAttention、DistilBert、ESIM、RE2、Roberta、SiaGRU、XlNet)

textmatch-1 icon textmatch-1

QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)

textsim_cn_finetune icon textsim_cn_finetune

微调预训练语言模型(BERT、Roberta、XLBert等),用于计算两个文本之间的相似度(通过句子对分类任务转换),适用于中文文本

text_bert_cnn_rnn icon text_bert_cnn_rnn

在 Google BERT Fine-tuning基础上,利用cnn/rnn进行中文文本的分类

tianchimetroflow icon tianchimetroflow

天池全球城市计算AI挑战赛:A榜单模型12.28, B榜单模型12.53,多模型融合11.74(Top 3), C榜官方结果17.08(新人赛验证C榜可通过乘个衰减提升很多到12.00,A榜也有效果到11.88)

track_sequence_anomaly_detection icon track_sequence_anomaly_detection

由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类st-dbscan做异常检测

webshell-1 icon webshell-1

findWebshell是一款基于python开发的webshell检查工具,可以检查任意类型的webshell后门

word_similarity icon word_similarity

Word similarity calculation methods including WordNet-based, google search based, LSA, LDA, Word2Vec, Fasttext, GloVe, ELMo, BERT

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