blackjax-devs / blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
☆891Updated last month
Alternatives and similar repositories for blackjax:
Users that are interested in blackjax are comparing it to the libraries listed below
- Gaussian processes in JAX.☆489Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆956Updated 2 weeks ago
- ☆559Updated this week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆428Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆392Updated this week
- Probabilistic Numerics in Python.☆448Updated 11 months ago
- State Space Models library in JAX☆751Updated last week
- ☆841Updated 2 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆251Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,575Updated this week
- The tiniest of Gaussian Process libraries☆307Updated 2 weeks ago
- Statistical Rethinking (2nd ed.) with NumPyro☆455Updated last year
- State of the art inference for your bayesian models.☆204Updated 3 months ago
- ☆152Updated 3 weeks ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,419Updated this week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆573Updated last week
- Compositional Linear Algebra☆466Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,285Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆332Updated 2 months ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆661Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆469Updated 2 weeks ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆329Updated last year
- Optax is a gradient processing and optimization library for JAX.☆1,847Updated this week
- Uncertainty quantification with PyTorch☆349Updated last week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆265Updated this week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆228Updated last week
- Mathematical operations for JAX pytrees☆198Updated 3 months ago
- JAX - A curated list of resources https://github.com/google/jax☆1,747Updated last month
- A Python library for amortized Bayesian workflows using generative neural networks.☆446Updated this week