DeepWisdom / AutoSeries2019Links
☆18Updated 6 years ago
Alternatives and similar repositories for AutoSeries2019
Users that are interested in AutoSeries2019 are comparing it to the libraries listed below
Sorting:
- ☆15Updated 6 years ago
- https://www.kaggle.com/c/m5-forecasting-accuracy/overview/☆12Updated 5 years ago
- ☆26Updated 4 years ago
- [kaggle] M5 Forecasting - Accuracy (4th place solution)☆37Updated 5 years ago
- This github repo contains my replicate experiments of paper 'Enhancing Stock Movement Prediction with Adversarial Training'.☆20Updated 4 years ago
- kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting☆16Updated 8 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 8 years ago
- ☆22Updated 3 years ago
- ☆26Updated 7 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Updated 4 years ago
- Public solution for AutoSeries competition☆72Updated 6 years ago
- The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".☆33Updated 4 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆33Updated 8 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆40Updated 5 years ago
- Time Series Forecasting with LightGBM☆86Updated 3 years ago
- Multi-scale Two-way Deep Neural Network☆43Updated 5 years ago
- ☆40Updated 2 years ago
- Stacking classification and regression☆25Updated 6 years ago
- 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☆21Updated 2 years ago
- Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.☆22Updated 5 years ago
- Multivariate time series representation learning (using bert-like model adapted for TS)☆16Updated 4 years ago
- kaggle: IEEE-CIS Fraud Detection☆30Updated 6 years ago
- [译]tsfresh特征提取工具可提取的特征☆53Updated 6 years ago
- A framework for training and evaluating deep learning models in Quantitative trading domain☆56Updated 6 years ago
- 强化学习进行量化金融☆41Updated 3 years ago
- FinanceGPT-B☆10Updated last year
- ☆20Updated 5 months ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 4 years ago
- #30 at KDD CUP 2018 https://biendata.com/competition/kdd_2018/☆42Updated 7 years ago
- 基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測☆47Updated 5 years ago