mjhajharia / pydata21Links
Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC
☆26Updated 3 years ago
Alternatives and similar repositories for pydata21
Users that are interested in pydata21 are comparing it to the libraries listed below
Sorting:
- Gaussian Process Model Building Interface☆51Updated 4 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated 2 weeks ago
- PyData London 2022 Tutorial☆66Updated 3 years ago
- A multiverse of Prophet models for timeseries☆54Updated 2 weeks ago
- Material for the PyLadies Bayesian Tutorial, Feb 11, 2020☆12Updated 2 years ago
- Powerful add-ons for PyMC☆106Updated last week
- Simulation based calibration and generation of synthetic data.☆55Updated 3 weeks ago
- bayes-toolbox☆93Updated last week
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- A system for Bayesian estimation of state space models using PyMC☆33Updated last year
- ☆121Updated last week
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Educational resources☆104Updated 3 years ago
- Random Forests for Conditional Density Estimation☆42Updated 4 years ago
- Website: Data Umbrella & PyMC open source sessions☆26Updated last year
- Randomization-based inference in Python☆81Updated last week
- Exploring and eliciting probability distributions☆139Updated 3 weeks ago
- Tools for diagnostics and assessment of (machine learning) models☆38Updated 2 weeks ago
- Probabilistic Programming and Bayesian Computing with PyMC☆24Updated last year
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆13Updated 4 years ago
- Base classes for creating scikit-learn-like parametric objects, and tools for working with them.☆26Updated last week
- Bayesian Conjugate Models in Python☆31Updated last week
- Berlin Time Series Analysis Repository☆99Updated 2 years ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Efficient matrix representations for working with tabular data☆123Updated last week
- A mixture density network, by PyTorch, for scikit-learn☆23Updated 7 months ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago