blackjax-devs / blackjaxLinks
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
☆927Updated last month
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.☆516Updated last month
- A Python package for probabilistic state space modeling with JAX☆829Updated last month
- ☆578Updated last month
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆456Updated 3 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆429Updated last week
- ☆861Updated 2 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆267Updated last week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆974Updated 2 months ago
- The tiniest of Gaussian Process libraries☆310Updated last week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,675Updated this week
- Statistical Rethinking (2nd ed.) with NumPyro☆458Updated last month
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆702Updated 3 weeks ago
- State of the art inference for your bayesian models.☆219Updated last month
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,397Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆342Updated 2 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,477Updated 2 weeks ago
- ☆165Updated last month
- Probabilistic Numerics in Python.☆452Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆604Updated 3 weeks ago
- Compositional Linear Algebra☆476Updated 3 weeks ago
- Optax is a gradient processing and optimization library for JAX.☆1,916Updated this week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆481Updated this week
- Uncertainty quantification with PyTorch☆361Updated 2 months ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆242Updated 3 weeks ago
- Mathematical operations for JAX pytrees☆198Updated 6 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆278Updated last week
- Structural Time Series in JAX☆192Updated last year
- 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
- A Python library for amortized Bayesian workflows using generative neural networks.☆572Updated this week