r-matsuzaka / kaggle-past-time-series-competition

Related projects ⓘ

Alternatives and complementary repositories for kaggle-past-time-series-competition

• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆85Updated 2 months ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆96Updated last month
• microprediction / m6
  M6-Forecasting competition
  ☆42Updated 9 months ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆144Updated 9 months ago
• KseniaKingsep / quantgan
  Quant GAN from [Wiese et al., Quant GANs: Deep Generation of Financial Time Series, 2019]
  ☆19Updated 3 years ago
• crunchdao / adialab-notebooks
  ☆48Updated last year
• MingjieWang0606 / Kaggle-Jane-Street-AE-MLP-xgb-TOP1
  1th: Kaggle Jane Street Market Prediction: AE MLP+xgb
  ☆31Updated 2 years ago
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆74Updated this week
• ryancheunggit / tabular_dae
  ☆48Updated last year
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆172Updated 11 months ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆60Updated last month
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆101Updated 11 months ago
• AlgoTrading101 / Conformal-Prediction-MAPIE-Algotrading101
  Conformal Prediction - A Practical Guide with MAPIE
  ☆13Updated 8 months ago
• lsorber / neo-ls-svm
  Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
  ☆20Updated 7 months ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 7 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆198Updated 6 months ago
• Nixtla / utilsforecast
  ☆43Updated last week
• MarcoGorelli / wound-ignite
  Prize-winning solution to the M6 Forecasting Competition
  ☆21Updated last year
• guijinSON / Awesome-Deep-Hedging
  A curated list of resources dedicated to Deep Hedging
  ☆67Updated 2 years ago
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆67Updated 4 years ago
• aldente0630 / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆112Updated 3 years ago
• manujosephv / GATE
  ☆16Updated last year
• predict-idlab / crepes-weighted
  Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.
  ☆21Updated 5 months ago
• RektPunk / MQBoost
  Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost
  ☆25Updated last week
• naszilla / tabzilla
  ☆115Updated 7 months ago
• fortitudo-tech / entropy-pooling
  Entropy Pooling in Python with a BSD 3-Clause license.
  ☆31Updated 3 weeks ago
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆95Updated 11 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆211Updated this week
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆71Updated 11 months ago