Jax is a high-performance Python package, built to accelerate machine learning research. JAX provides a lightweight API for array-based computing - much like NumPy. It adds a set of composable function transformations, including automatic differentiation, just-in-time (JIT) compilation, and automated vectorization and parallelization of your code.
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Why is JAX better on Shakudo?
Why is better on Shakudo?
Core Shakudo Features
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Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.
