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You like pytorch? You like micrograd? You love tinygrad! ❤️
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Simple, elegant, Pythonic functional programming.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
The blessed GitHub Action, for publishing your 📦 distribution files to PyPI, the tokenless way: https://github.com/marketplace/actions/pypi-publish
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Multiple dispatch over abstract array types in JAX.