Python
How to Turn Familiar NumPy into Compilable GPU Code
JAX combines familiar NumPy syntax with automatic differentiation and XLA compilation, turning Python into GPU-accelerated code. Here's how it works.
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3 projects Python
License Plate Recognition at Three Thousand Frames per Second
A look at fast-plate-ocr, a lightweight library for license plate recognition that achieves up to 14,000 plates per second using compact CCT models and ONNX Runtime.
Python
Keras 3 — Your All-Access Pass to Deep Learning
Keras 3 unifies TensorFlow, PyTorch, and JAX in one framework. Get up to 350% performance boost by switching backends with a single line of code.