Alternatives and similar repositories for tsfresh-feature-translation

Users that are interested in tsfresh-feature-translation are comparing it to the libraries listed below

• wangkangdegithub / AutoML
  AutoML
  ☆38Updated 6 years ago
• Albertsr / Machine-Learning
  LR / SVM / XGBoost / RandomForest etc.
  ☆29Updated 5 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 6 years ago
• finafily526 / A_Model_of_Risk_Control
  关于评分卡的基本流程
  ☆68Updated 6 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆78Updated 9 months ago
• maidoudoujiushiwo / risk_model
  risk_model
  ☆27Updated 3 years ago
• fitzgerald0 / time_series_data_mining
  TensorFlow Probability；Time series model
  ☆127Updated 3 years ago
• zhaohuicici / Time-Series-Model
  时间序列理论和案例实践
  ☆72Updated 8 years ago
• SimaShanhe / tsfresh-feature-translation
  [译]tsfresh特征提取工具可提取的特征
  ☆97Updated 6 years ago
• ICBC-123 / scorecard
  This is the behavior scorecard, which includes three modules, including data processing, establishment of score card and effect evaluatio…
  ☆19Updated 6 years ago
• tatsumiw / ChiMerge
  对数据框中的某个变量进行有监督的分箱操作
  ☆64Updated 4 years ago
• itlubber / pdtr
  组合策略自动挖掘工具包，集成决策树规则挖掘、单变量规则挖掘、策略挖掘报告输出等功能，简单实用，风控人必备技能
  ☆47Updated 2 years ago
• ChuanyuXue / The-Purchase-and-Redemption-Forecast-Challenge-baseline
  天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5
  ☆98Updated 5 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
• yzkang / QH_FInSight
  国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
  ☆87Updated 7 years ago
• SimonWang00 / salesPredict
  基于ARIMA时间序列的销量预测模型，实际预测准确率达90%以上，内含有测试记录和实际上线效果。
  ☆109Updated 6 years ago
• ZhangXinNan / IntelligentRiskControl
  《智能风控——原理、算法与工程实践》
  ☆33Updated 4 years ago
• Lorne0 / LSTNet_keras
  Keras version of LSTNet
  ☆96Updated 6 years ago
• DataCanvasIO / HyperTS
  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
  ☆283Updated 7 months ago
• wangchengrong / Home_Credit_Default_Risk_my_notebook
  在Kaggle比赛中的Featuretools指南
  ☆19Updated 7 years ago
• loyalzc / transfer_learning
  Transfer Learning JDA and TrAdaboost
  ☆65Updated 7 years ago
• batch-norm / JDD-2017
  JDD-2017 京东金融大数据竞赛-销量预测-15th/889队
  ☆37Updated 7 years ago
• hongyingyue / Competition-solutions
  Machine learning competition solutions and tricks | 算法竞赛方案
  ☆60Updated 4 months ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• slydg / GRU_to_predict_timeseries
  使用pytorch搭建的循环神经网络在股票数据时间序列上的应用
  ☆108Updated 7 years ago
• laidy3 / Zhaohang_fintech
  招商银行第二届fintech-财经新闻分析baseline(线上第1名)
  ☆39Updated 7 years ago
• massful / time_series_anomaly_detection
  一种时间序列突变检验算法
  ☆17Updated 8 years ago
• itlubber / LogisticRegressionPipeline
  分别基于statsmodels和scikit-learn实现两种可用于sklearn pipeline的 LogisticRegression，并输出相应的报告
  ☆20Updated 2 years ago
• zmkwjx / GluonTS-Learning-in-Action
  MXNET之GluonTS学习手册
  ☆25Updated 4 years ago
• ZGLee96 / gbdt_var
  根据GBDT衍生变量，并对衍生后的变量进行应用
  ☆21Updated 5 years ago