blackjax-devs / blackjaxLinks
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
☆931Updated 2 months ago
Alternatives and similar repositories for blackjax
Users that are interested in blackjax are comparing it to the libraries listed below
Sorting:
- Gaussian processes in JAX and Flax.☆521Updated 3 weeks ago
- A Python package for probabilistic state space modeling with JAX☆838Updated 2 months ago
- ☆579Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆437Updated last month
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆979Updated 3 months ago
- The tiniest of Gaussian Process libraries☆313Updated this week
- Probabilistic Numerics in Python.☆452Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆457Updated 2 weeks ago
- State of the art inference for your bayesian models.☆219Updated 2 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆269Updated this week
- ☆864Updated last week
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆709Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,693Updated 3 weeks ago
- Statistical Rethinking (2nd ed.) with NumPyro☆460Updated 2 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆614Updated last week
- Compositional Linear Algebra☆478Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,482Updated last month
- ☆173Updated last week
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Uncertainty quantification with PyTorch☆362Updated 3 months ago
- Turn SymPy expressions into trainable JAX expressions.☆343Updated 2 months ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,418Updated last week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆247Updated last week
- Optax is a gradient processing and optimization library for JAX.☆1,936Updated this week
- A Python library for amortized Bayesian workflows using generative neural networks.☆577Updated this week
- Structural Time Series in JAX☆193Updated last year
- Sequential Monte Carlo in python☆461Updated last month
- Mathematical operations for JAX pytrees☆198Updated 7 months ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆484Updated last week