rlouf / mcx
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
☆325Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for mcx
- Statistical Rethinking (2nd ed.) with NumPyro☆446Updated 8 months ago
- Functional tensors for probabilistic programming☆236Updated last year
- Tools for an Aesara-based PPL.☆64Updated last week
- State of the art inference for your bayesian models.☆163Updated last month
- Just a little MCMC☆217Updated 4 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆836Updated last week
- Python wrapper for nuts-rs☆123Updated this week
- Structural Time Series in JAX☆184Updated 6 months ago
- Tutorials and sampling algorithm comparisons☆68Updated this week
- Gaussian process modelling in Python☆218Updated 9 months ago
- Database with posteriors of interest for Bayesian inference☆181Updated 2 months ago
- Documentation:☆120Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆225Updated 10 months ago
- The tiniest of Gaussian Process libraries☆295Updated this week
- Bayesian Regression Models in Pyro☆70Updated 3 months ago
- ELFI - Engine for Likelihood-Free Inference☆267Updated 4 months ago
- ☆535Updated last month
- Statistical Rethinking with PyTorch and Pyro☆161Updated 5 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆94Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆95Updated last year
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆87Updated 3 years ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆219Updated last week
- Gaussian processes in JAX.☆459Updated last week
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆269Updated 2 years ago
- Exploring and eliciting probability distributions☆88Updated this week
- Probabilistic Numerics in Python.☆438Updated 6 months ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆390Updated 6 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆120Updated 3 weeks ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆288Updated last month
- ☆20Updated last month