ritchie46 / vanilla-machine-learningLinks
vanilla machine learning
☆112Updated 2 years ago
Alternatives and similar repositories for vanilla-machine-learning
Users that are interested in vanilla-machine-learning are comparing it to the libraries listed below
Sorting:
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- An extension of CatBoost to probabilistic modelling☆149Updated 2 years ago
- Learn Pyro through the M5 forecasting competition☆86Updated 5 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 5 months ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆177Updated 3 years ago
- Applied Machine Learning with Python☆80Updated last year
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆274Updated 4 years ago
- scikit-learn-inspired time series☆201Updated last year
- Presented at Scipy Conference 2019☆128Updated 5 years ago
- legend☆210Updated 2 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆296Updated 2 weeks ago
- fastai V2 implementation of Timeseries classification papers.☆242Updated 3 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 5 years ago
- Probabilistic Gradient Boosting Machines☆157Updated 2 years ago
- Bayesian Bandits☆68Updated 2 years ago
- Python package for Imputation Methods☆251Updated 2 years ago
- Time should be taken seer-iously☆319Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 3 years ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆93Updated 3 years ago
- Better `keras` models for time series and beyond☆61Updated 2 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆37Updated 3 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆161Updated 5 years ago
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 6 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated last year
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Example usage of scikit-hts☆57Updated 3 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 5 years ago
- Phi_K correlation analyzer library☆172Updated 3 weeks ago