Alternatives and similar repositories for Competition2018

Users that are interested in Competition2018 are comparing it to the libraries listed below

• EEEGUI / Modeling-Competition
  研究生数学建模比赛－航班登机口分配
  ☆17Updated 6 years ago
• wylqq312715289 / semi-supervised-1
  使用keras框架Embedding+LSTM对短文本分类-半监督
  ☆16Updated 8 years ago
• kikizxd / Class-imbalanced__Credit-Card-Fraud
  分类类别不平衡，解决办法：采样(SMOTE和算法集成技术等)、阈值移动、调整代价或权重，附带信用卡诈骗案例
  ☆21Updated 6 years ago
• aflyingpig0226 / feature-engineering
  机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。
  ☆25Updated 6 years ago
• manderous / TextClassification-MeiTuan-FeatureExtraction-Classifier
  该工程是利用python3.6进行“特征提取+分类器”来实现美团评论的文本二分类问题。在特征提取部分提取了6种特征，分类器选择了python里面的包xgboost和lightGBM分别实现提升树和GBDT（梯度提升决策树）。
  ☆94Updated 6 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆67Updated 3 years ago
• tcxdgit / cnn_multilabel_classification
  Multilabel classification based on TextCNN and Attention
  ☆78Updated 5 years ago
• Rudo-erek / decision-tree
  基于kaggle上Titanic数据集实现的ID3、C4.5、CART和CART剪枝算法
  ☆41Updated 6 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• qpp117 / DeepLearning_BaseOnTensorFlow
  基于TensorFlow的深度学习、深度增强学习代码：NN(传统神经网络)、CNN(卷积神经网络)、RNN(递归神经网络)、LSTM(长短期记忆网络)、GAN(生成对抗网络)、DRL(深度增强学习)
  ☆56Updated 7 years ago
• MachineLP / train_arch
  cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attentio…
  ☆209Updated 4 years ago
• luckyerdog / feature_select
  在sklearn下，几种常用的特征选择方法
  ☆41Updated 9 years ago
• jt120 / tianchi_ship_2019
  天池智慧海洋 2019 https://tianchi.aliyun.com/competition/entrance/231768/introduction?spm=5176.12281949.1003.1.493e5cfde2Jbke
  ☆53Updated 5 years ago
• uncleban / 2019_cmb_fintech
  2019招行fintech精英训练营 基于收支记录判断借贷意愿 baseline(第1名)
  ☆104Updated 6 years ago
• ChileWang0228 / DeepLearningTutorial
  深度学习代码
  ☆132Updated 6 years ago
• xqtbox / question-classification-with-multi-level-attention-mechanism-and-keras
  question classification with multi-level attention mechanism 使用多层级注意力机制和keras实现问题分类
  ☆34Updated 6 years ago
• albertwy / BiLSTM
  ☆277Updated 3 years ago
• InsaneLife / MyPicture
  Sample code and picture of my blog or project
  ☆138Updated 3 years ago
• fuqiuai / lihang_algorithms
  用python和sklearn两种方法实现李航《统计学习方法》中的算法
  ☆340Updated 7 years ago
• SUMORAN / Attention-Based-BiLSTM-sentence-classify
  Industry chain data test：Sentence classify Bi-GRU-att
  ☆21Updated 7 years ago
• rogeroyer / AI-challenger-contest
  马上AI全球挑战赛-违约用户风险预测 top2-solution
  ☆19Updated 7 years ago
• fuqiuai / sklearn-feature-engineering
  使用sklearn做特征工程
  ☆177Updated 7 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆47Updated 6 years ago
• u784799i / biLSTM_attn
  ☆166Updated 6 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆22Updated 6 years ago
• China-ChallengeHub / ChallengeHub-Baselines
  ChallengeHub开源的各大比赛baseline集合
  ☆80Updated 3 years ago
• wikke / TimeSeriesPrediction
  Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络
  ☆57Updated 8 years ago
• sileixinhua / Python_data_science_by_iris
  iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。
  ☆46Updated 8 years ago
• BBKing49 / 2019CCF-BDCI
  2019ccf乘用车销量预测Top1%代码
  ☆13Updated 5 years ago
• Anfany / Machine-Learning-for-Beginner-by-Python3
  为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
  ☆434Updated 4 years ago