blackjax-devs / blackjaxLinks
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
☆1,009Updated last week
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.☆588Updated this week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆510Updated this week
- ☆622Updated 3 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆541Updated this week
- A Python package for probabilistic state space modeling with JAX☆924Updated last month
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,022Updated last month
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆298Updated last month
- The tiniest of Gaussian Process libraries☆333Updated this week
- State of the art inference for your bayesian models.☆231Updated 3 weeks ago
- Probabilistic Numerics in Python.☆458Updated 7 months ago
- ☆924Updated 2 weeks ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,898Updated this week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆700Updated last week
- Statistical Rethinking (2nd ed.) with NumPyro☆468Updated 9 months ago
- ☆216Updated last week
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆783Updated last week
- Compositional Linear Algebra☆507Updated 6 months ago
- Uncertainty quantification with PyTorch☆379Updated 2 weeks ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆630Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆360Updated last week
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆329Updated last year
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,599Updated last week
- Sequential Monte Carlo in python☆483Updated 3 months ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆513Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,765Updated last week
- Probabilistic Programming and Nested sampling in JAX☆219Updated last month
- Mathematical operations for JAX pytrees☆208Updated last year
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆255Updated 3 months ago
- Structural Time Series in JAX☆214Updated last year
- ☆265Updated this week