pymc-devs / symbolic-pymcLinks
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
☆62Updated last year
Alternatives and similar repositories for symbolic-pymc
Users that are interested in symbolic-pymc are comparing it to the libraries listed below
Sorting:
- Tools for an Aesara-based PPL.☆66Updated 9 months ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Python S-expression emulation using tuple-like objects.☆22Updated last month
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Probabilistic Programming eXecution protocol (PPX)☆75Updated 3 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Exponential families for JAX☆73Updated 3 weeks ago
- Documentation:☆121Updated 2 years ago
- Evaluation Framework for Probabilistic Programming Languages☆101Updated last year
- Probabilistic programming system for fast and exact symbolic inference☆82Updated last year
- Inference Combinators in JAX☆49Updated 3 months ago
- probabilistic programming focused on fun☆41Updated 2 weeks ago
- Bayesian optimization of discrete sequences☆21Updated 3 years ago
- Bayesian Regression Models in Pyro☆72Updated last year
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- Decorator for PyMC3☆50Updated 4 years ago
- A surface language for programming Stan models using python syntax☆45Updated 6 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Simulation based calibration and generation of synthetic data.☆55Updated 2 months ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Functional tensors for probabilistic programming☆242Updated last year
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Subsumed into xnd☆25Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A fully Bayesian implementation of sequential model-based optimization☆40Updated last year
- Fast Function Extraction☆85Updated last month
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago