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PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework that currently provides compilation via C, JAX, and Numba. Based on one of the most widely-used Python tensor libraries: Theano.
Features
- Use numpy.ndarray in PyTensor-compiled functions
- PyTensor efficiently computes your derivatives for functions with one or many inputs
- Get the right answer for log(1 + x) even when x is near zero
- Evaluate expressions faster
- Efficient symbolic differentiation
- Speed and stability optimizations
Project Samples
License
MIT LicenseFollow PyTensor
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