aesara-devs / aesaraLinks
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
☆1,221Updated last year
Alternatives and similar repositories for aesara
Users that are interested in aesara are comparing it to the libraries listed below
Sorting:
- PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.☆580Updated last week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,598Updated this week
- Manipulate JSON-like data with NumPy-like idioms.☆931Updated 2 weeks ago
- PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io☆359Updated last year
- Fast NumPy array functions written in C☆1,159Updated last week
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆709Updated 4 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,002Updated last month
- A high-performance implementation of Wilkinson formulas for Python.☆433Updated 2 weeks ago
- Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more☆2,396Updated last month
- Exploratory analysis of Bayesian models with Python☆1,773Updated last week
- Probabilistic Numerics in Python.☆455Updated 6 months ago
- Statistical Rethinking (2nd ed.) with NumPyro☆466Updated 8 months ago
- Describing statistical models in Python using symbolic formulas☆978Updated last week
- A High Level API for Deep Learning in JAX☆476Updated 3 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,237Updated last week
- Optax is a gradient processing and optimization library for JAX.☆2,160Updated last week
- ☆919Updated 3 weeks ago
- Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP impleme…☆407Updated 2 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,023Updated last month
- Examples of PyMC models, including a library of Jupyter notebooks.☆363Updated last week
- A library that allows for inference on probabilistic models☆273Updated 2 years ago
- Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application☆1,326Updated this week
- A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews☆1,311Updated 3 weeks ago
- Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.☆1,623Updated 2 weeks ago
- A unified interface for optimization algorithms and experiments☆541Updated this week
- PyStan, the Python interface to Stan☆928Updated 4 years ago
- Scalable Machine Learning with Dask☆944Updated 4 months ago
- RFC document, tooling and other content related to the array API standard☆264Updated 2 weeks ago
- Minimum-distortion embedding with PyTorch☆570Updated 6 months ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,714Updated this week