Alternatives and similar repositories for xgboost-lightgbm-hyperparameter-tuning

Users that are interested in xgboost-lightgbm-hyperparameter-tuning are comparing it to the libraries listed below

• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• luanshiyinyang / Stacking
  机器学习集成模型之Stacking各类模型及工具源码
  ☆118Updated 4 years ago
• fitzgerald0 / time_series_data_mining
  TensorFlow Probability；Time series model
  ☆127Updated 3 years ago
• Lorne0 / LSTNet_keras
  Keras version of LSTNet
  ☆96Updated 6 years ago
• LongxingTan / Data-competitions
  My Data Competition Solutions
  ☆103Updated last year
• hongyingyue / Competition-solutions
  Machine learning competition solutions and tricks | 算法竞赛方案
  ☆59Updated 2 months ago
• Qiuyan918 / Adversarial_Validation_Case_Study
  当样本分布发生变化时，交叉验证无法准确评估模型在测试集上的效果，这时候需要其他构造验证集的方法来应对。
  ☆52Updated 5 years ago
• XiaowanLi2018 / TimeSeriesPrediction_BasedOnCNN
  BaseWavenet/Wavenet+ResidualBlock
  ☆16Updated 6 years ago
• TianFengshou / hyperopt-doc-zh
  Github开源项目hyperopt系列的中文文档,以及学习教程等
  ☆163Updated 5 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 3 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
  ☆97Updated 5 years ago
• 634671436 / Air_Pollution_Forcast_Beijing
  基于Keras的LSTM多变量时间序列预测
  ☆181Updated 7 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆22Updated 6 years ago
• LeslieZhoa / Wind_predict_seq2seq
  基于seq2seq模型的风功率预测
  ☆29Updated 5 years ago
• whoami-zy / WaterFlow
  2020 第四届工业大数据创新竞赛-水电站入库流量预测-top1代码
  ☆32Updated 4 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 3 years ago
• SY575 / DF-Early-warning-of-the-wind-power-system
  ☆101Updated 7 years ago
• radicali94 / TimeSeries-Regression
  Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
  ☆23Updated 5 years ago
• pinlank / kdxf2019top2
  2019科大讯飞工程机械赛题-亚军
  ☆39Updated 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
  ☆58Updated 8 years ago
• shashwattrivedi / TimeSeriesTransformerLSTM
  ☆26Updated 6 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆51Updated 6 years ago
• yuchengle / Arima
  利用时间序列预测汽车销量
  ☆43Updated 6 years ago
• zhaohuicici / Time-Series-Model
  时间序列理论和案例实践
  ☆72Updated 7 years ago
• BackyardofAbela / EnsembleLearning
  包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用
  ☆287Updated 5 years ago
• Maple728 / MTNet
  Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
  ☆66Updated 5 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆259Updated 7 years ago
• currylym / time-series-prediction-learning-record
  Learning Record about TSP
  ☆58Updated 6 years ago
• arleigh418 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
  基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
  ☆77Updated 5 years ago
• ZongXR / DCIC2024-PhotoVoltaic
  本赛题要求选手基于历史光伏发电数据、天气数据、光伏设备空间相对位置等信息，通过建立适当的模型，对未来一段时间内的光伏发电出力进行预测。A榜使用外部数据得分0.88501103804 排名32，未使用外部数据得分0.88042407737 ；B榜得分0.90467829011…
  ☆31Updated last year