pyro-ppl / pyroedLinks
Bayesian optimization of discrete sequences
☆21Updated 3 years ago
Alternatives and similar repositories for pyroed
Users that are interested in pyroed are comparing it to the libraries listed below
Sorting:
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- probabilistic programming focused on fun☆43Updated 2 weeks ago
- Bayesian inference for a logistic regression model in various languages☆43Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Bayesian algorithm execution (BAX)☆53Updated 4 years ago
- Exponential families for JAX☆75Updated 2 weeks ago
- Inference Combinators in JAX☆52Updated 6 months ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Documentation:☆125Updated 2 years ago
- A generic interface for linear algebra backends☆75Updated 2 weeks ago
- Graph Learning with JAX☆14Updated 3 years ago
- Tools for an Aesara-based PPL.☆67Updated last year
- Tools for JAX☆48Updated 2 weeks ago
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 6 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆97Updated 7 months ago
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆64Updated last year
- Normalizing Flows using JAX☆85Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- ☆31Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 4 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- Gaussian process modelling in Python☆225Updated 11 months ago
- Efficient, lightweight variational inference and approximation bounds☆45Updated last month
- Tutorials and sampling algorithm comparisons☆78Updated this week
- A library for random feature maps in Python.☆17Updated 5 years ago
- Evaluation Framework for Probabilistic Programming Languages☆103Updated last year
- An introduction to functional programming for scalable statistical computing☆77Updated last year
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago