pyro-ppl / Pyro-M5-Starter-Kit
Learn Pyro through the M5 forecasting competition
☆84Updated 4 years ago
Alternatives and similar repositories for Pyro-M5-Starter-Kit:
Users that are interested in Pyro-M5-Starter-Kit are comparing it to the libraries listed below
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- TabNet for fastai☆123Updated this week
- Probabilistic Gradient Boosting Machines☆149Updated last year
- ☆92Updated 3 months ago
- Kaggle M5 Forecasting - Uncertainty 4th Place Solution☆31Updated 2 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Time should be taken seer-iously☆314Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- In which I play with the ideas surrounding causality☆51Updated 2 years ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year
- WIP predicted survival functions☆37Updated 5 years ago
- ☆106Updated this week
- Random stuff I've been working on☆28Updated last year
- Generalized additive models in Python with a Bayesian twist☆77Updated 10 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆260Updated last week
- Better `keras` models for time series and beyond☆61Updated last year
- A way to use N-Beats in fastai for sequence data☆59Updated last year
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Bayesian Bandits☆67Updated last year
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated 7 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆57Updated 5 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 7 years ago
- Presentation materials for PyMC Statespace☆16Updated 6 months ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year