SakiHimeJ

SakiHimeJ's Stars

• wzhe06/SparkCTR

  CTR prediction model based on spark(LR, GBDT, DNN)

  Language:Scala901260

• zjy-ucas/ChineseNER

  A neural network model for Chinese named entity recognition

  Language:Python1.8k570

• macanv/BERT-BiLSTM-CRF-NER

  Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

  Language:Python4.7k1.3k

• yanwii/ChineseNER

  基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

  Language:Python16441

• ata4/disunity

  An experimental toolset for Unity asset and asset bundle files.

  Language:Java2.7k663

• RaduMC/AssetStudio

  AssetStudio is an independent tool for exploring, extracting and exporting assets.

  Language:C#1.4k105

• MatthewDaws/PointProcesses

  Basics of point processes using python for simulation

  Language:Jupyter Notebook5814

• rainx/pytdx

  Python tdx数据接口

  Language:Python1.3k939

• shidenggui/easyquant

  股票量化框架，支持行情获取以及交易

  Language:Python2.9k1.2k

• shidenggui/easytrader

  提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

  Language:Python7.8k2.6k

• dunan/NeuralPointProcess

  Language:C++8536

• Thinklab-SJTU/DP3

  Deep Point Process by PyTorch

  Language:Python284

• Receiling/DP3

  Deep Point Process by PyTorch

  Language:Python234

• hidasib/GRU4Rec

  GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

  Language:Python751223

• hungpthanh/GRU4REC-pytorch

  An other implementation of GRU4REC using PyTorch

  Language:Python24355

• wanggaohang/spark-itemBasedCF

  Item-Based Collaborative Filtering Spark Job (use cosin similarity)

  Language:Java3620

• andrewmilo/BigData-Semantic-Similarity

  The goal of this project was to calculate the semantic similarity of terms in a document using Apache Spark & Scala.

  Language:Scala42

• terrifyzhao/bert-utils

  一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

  Language:Python1.6k426

• thunderain-project/examples

  A SimRank algorithm implementation using Spark

  Language:Scala4921

• wanesta/Simrank

  spark-simrank scala

  Language:Scala176

• wangru8080/gbdt-lr

  gbdt+lr

  Language:Python15957

• databricks/spark-training

  Apache Spark training material

  Language:Scala400353

• foolwood/DaSiamRPN

  [ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

  Language:Python1.3k364

• adambielski/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python3.1k633

• formulahendry/955.WLB

  955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

  34.6k1.7k

• keon/seq2seq

  Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

  Language:Python688171

• vlukiyanov/pt-sdae

  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

  Language:Python11834

• baidu/Familia

  A Toolkit for Industrial Topic Modeling

  Language:C++2.6k599

• nzc/dnn_ctr

  The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

  Language:Python756284

• chenxijun1029/DeepFM_with_PyTorch

  A PyTorch implementation of DeepFM for CTR prediction problem.

  Language:Python368101