Alternatives and similar repositories for m5-python-starter

Users that are interested in m5-python-starter are comparing it to the libraries listed below

• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆33Updated 3 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆40Updated last year
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆97Updated 6 years ago
• btrotta / kaggle-m5
  Top 3% solution for Kaggle M5 Accuracy competition
  ☆24Updated 5 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 7 years ago
• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆170Updated 4 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 8 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆56Updated 5 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• anonICLR2020 / node
  ☆26Updated 6 years ago
• ZhouYuxuanYX / Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting
  Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras
  ☆55Updated 6 years ago
• Y-oHr-N / OptGBM
  Optuna + LightGBM = OptGBM
  ☆35Updated 3 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 6 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆74Updated 2 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• Zymrael / wattnet-fx-trading
  WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
  ☆73Updated 5 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 7 years ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆121Updated 3 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆330Updated last year
• jjdabr / forecastNet
  Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series F…
  ☆96Updated 4 years ago
• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago