Trigram19 / m5-python-starter
Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.
☆22Updated 4 years ago
Alternatives and similar repositories for m5-python-starter:
Users that are interested in m5-python-starter are comparing it to the libraries listed below
- Kaggle M5 Forecasting - Uncertainty 4th Place Solution☆31Updated 2 years ago
- Implementations of Quantile Regression☆28Updated 6 years ago
- M5 Uncertainty kaggle competition, 3rd place solution☆39Updated last year
- A way to use N-Beats in fastai for sequence data☆59Updated 2 years ago
- WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series☆73Updated 4 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Updated 5 years ago
- 13th place solution☆32Updated 2 years ago
- ☆167Updated 4 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Updated 2 years ago
- Top 3% solution for Kaggle M5 Accuracy competition☆23Updated 4 years ago
- A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆58Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆111Updated 10 months ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 7 years ago
- Google QUEST Q&A Labeling Kaggle Competition 6th Place Solution☆45Updated 4 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-PredictionPytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…☆64Updated 5 years ago
- ☆10Updated 2 years ago
- ☆51Updated 6 years ago
- ☆29Updated 5 years ago
- A simple implementation of the WaveNet model for time series forecasting☆26Updated 7 years ago
- Time Series Forecasting Framework☆41Updated 2 years ago
- Classifying time series using feature extraction☆86Updated 6 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 7 years ago
- Recruit Restaurant Visitor Forecasting 25th place solution☆12Updated 7 years ago
- Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras☆55Updated 5 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Practical Deep Learning resources for Time series analysis and forecasting☆85Updated 3 years ago
- ☆95Updated last year
- kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting☆16Updated 7 years ago