Alternatives and similar repositories for AutoSeries2019:

Users that are interested in AutoSeries2019 are comparing it to the libraries listed below

• DeepBlueAI / AutoSeries
  ☆15Updated 5 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 5 years ago
• Qiuyan918 / m5_forcasting
  https://www.kaggle.com/c/m5-forecasting-accuracy/overview/
  ☆12Updated 4 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 7 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• monsaraida / kaggle-m5-forecasting-accuracy-4th-place
  [kaggle] M5 Forecasting - Accuracy (4th place solution)
  ☆37Updated 4 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 4 years ago
• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆31Updated 2 years ago
• DominickZhang / KDDCup2019_admin
  Our solutions for KDDCup2019 as team "admin"
  ☆14Updated 5 years ago
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆13Updated 10 months ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 8 years ago
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 3 years ago
• 0xleowang / kaggle-optiver-2021
  ☆26Updated 3 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆81Updated 2 years ago
• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 4 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆69Updated 3 years ago
• tathey1 / graspy
  Python package for graph statistics
  ☆9Updated 4 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆37Updated 4 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆38Updated 10 months ago
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆45Updated this week
• TsLu1s / tsforecasting
  TSForecasting: Automated Time Series Forecasting Framework
  ☆28Updated 2 months ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆35Updated last year
• alteryx / featuretools-tsfresh-primitives
  TSFresh primitives for featuretools
  ☆36Updated 2 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• alteryx / DL-DB
  Deep learning for time-varying multi-entity datasets
  ☆17Updated 6 years ago