JAX and Functional ML
JAX jit, grad, vmap, pmap - functional transformations for high-performance ML, XLA compilation, and NumPy-compatible ML research.
JAX jit, grad, vmap, pmap - functional transformations for high-performance ML, XLA compilation, and NumPy-compatible ML research.
PyTorch tensors, autograd, neural network modules, training loops, GPU acceleration, and production patterns for deep learning.