This is stars and forks stats for /google/sympy2jax repository. As of 06 May, 2024 this repository has 272 stars and 12 forks.
sympy2jax Turn SymPy expressions into trainable JAX expressions. The output will be an Equinox module with all SymPy floats (integers, rationals, ...) as leaves. SymPy symbols will be inputs. Optimise your symbolic expressions via gradient descent! Installation pip install sympy2jax Requires: Python 3.7+ JAX 0.3.4+ Equinox 0.5.3+ SymPy 1.7.1+. Example import jax import sympy import sympy2jax x_sym = sympy.symbols("x_sym") cosx = 1.0 * sympy.cos(x_sym) sinx = 2.0 * sympy.sin(x_sym) mod = sympy2jax.SymbolicModule([cosx,...
sympy2jax Turn SymPy expressions into trainable JAX expressions. The output will be an Equinox module with all SymPy floats (integers, rationals, ...) as leaves. SymPy symbols will be inputs. Optimise your symbolic expressions via gradient descent! Installation pip install sympy2jax Requires: Python 3.7+ JAX 0.3.4+ Equinox 0.5.3+ SymPy 1.7.1+. Example import jax import sympy import sympy2jax x_sym = sympy.symbols("x_sym") cosx = 1.0 * sympy.cos(x_sym) sinx = 2.0 * sympy.sin(x_sym) mod = sympy2jax.SymbolicModule([cosx,...
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