Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
☆1,218Nov 15, 2024Updated last year
Alternatives and similar repositories for aesara
Users that are interested in aesara are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tools for an Aesara-based PPL.☆67Oct 28, 2024Updated last year
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,077Updated this week
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Oct 23, 2023Updated 2 years ago
- PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.☆612Updated this week
- An HMC/NUTS implementation in Aesara☆31Jun 22, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,680Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,619Updated this week
- Exploratory analysis of Bayesian models with Python☆1,822Apr 24, 2026Updated 3 weeks ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,266Updated this week
- Examples of PyMC models, including a library of Jupyter notebooks.☆384May 12, 2026Updated last week
- Formulas for mixed-effects models in Python☆65Feb 9, 2026Updated 3 months ago
- Powerful add-ons for PyMC☆138Updated this week
- A backend for storing MCMC draws.☆22Apr 27, 2026Updated 3 weeks ago
- Hidden Markov models in PyMC3☆96Mar 20, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tutorials and sampling algorithm comparisons☆86Updated this week
- Sampling with Blackjax on Aesara☆11Mar 10, 2023Updated 3 years ago
- Python wrapper for nuts-rs☆199May 11, 2026Updated last week
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆331Mar 20, 2024Updated 2 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Oct 4, 2021Updated 4 years ago
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆65Mar 20, 2024Updated 2 years ago
- State of the art inference for your bayesian models.☆241Jan 14, 2026Updated 4 months ago
- Optax is a gradient processing and optimization library for JAX.☆2,269May 16, 2026Updated last week
- Stats, linear algebra and einops for xarray☆68May 4, 2026Updated 2 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Documentation:☆131May 22, 2023Updated 3 years ago
- ☆634May 13, 2026Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,886May 11, 2026Updated last week
- Flax is a neural network library for JAX that is designed for flexibility.☆7,204Updated this week
- PyMC Extras extracted from the "exoplanet" library☆19Apr 27, 2026Updated 3 weeks ago
- Solve ODEs fast, with support for PyMC☆121May 13, 2024Updated 2 years ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,627Updated this week
- Gaussian Process Model Building Interface☆52Mar 11, 2025Updated last year
- The tiniest of Gaussian Process libraries☆345May 9, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Gaussian processes in JAX and Equinox.☆620May 11, 2026Updated last week
- A high-performance implementation of Wilkinson formulas for Python.☆451Jan 9, 2026Updated 4 months ago
- Deep universal probabilistic programming with Python and PyTorch☆9,004Jul 9, 2025Updated 10 months ago
- Probabilistic Programming and Nested sampling in JAX☆234May 13, 2026Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆316Apr 20, 2026Updated last month
- A Python package for causal inference in quasi-experimental settings☆1,143Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,040Dec 17, 2025Updated 5 months ago