Alternatives and similar repositories for AutoSeries

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

• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago
• midas-research / hyper-stockgat-www
  Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021
  ☆20Updated 4 years ago
• Qiuyan918 / m5_forcasting
  https://www.kaggle.com/c/m5-forecasting-accuracy/overview/
  ☆12Updated 4 years ago
• SirAlex900 / FeatureProgramming
  ☆40Updated 2 years ago
• Wentao-Xu / IGMTF
  The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".
  ☆32Updated 3 years ago
• marscrazy / MTDNN
  Multi-scale Two-way Deep Neural Network
  ☆43Updated 4 years ago
• 0xleowang / kaggle-optiver-2021
  ☆26Updated 3 years ago
• michaeljahrer / rankGauss
  ☆26Updated 7 years ago
• louisoutin / bert_timeseries
  Multivariate time series representation learning (using bert-like model adapted for TS)
  ☆16Updated 4 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• jovicigor / DecisionTreeRuleExtraction
  This project is a research on how to extract rules from the existing data using trained Decision Tree. The dataset used to train the mode…
  ☆16Updated 6 years ago
• goiter / CoCPC
  ☆53Updated 3 years ago
• yonxie / AdvFinTweet
  ☆22Updated 3 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆112Updated last year
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• yuxiangalvin / Stock-Move-Prediction-with-Adversarial-Training-Replicate
  This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.
  ☆20Updated 4 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆16Updated 7 years ago
• easysam / Autoformer
  Implementation of the paper "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting", https://arxi…
  ☆19Updated 4 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 3 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• carloschavez9 / ensemble-time-series
  Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…
  ☆33Updated 8 years ago
• deeptrade-public / slot
  repository for accepted paper in BigData 2022 conference
  ☆13Updated 2 years ago
• gimpgael / ExtremeEventForecasting
  (Python) Extreme events model inspired from Uber article
  ☆21Updated 4 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
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆40Updated last year
• Ajim63 / Attention-Based-Dynamic-Graph-Learning-Framework-for-Asset-Pricing
  This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"
  ☆14Updated 3 years ago
• z331565360 / State-Frequency-Memory-stock-prediction
  ☆132Updated 6 years ago
• CVxTz / DeepTabular
  ☆37Updated 4 years ago