Efficiently computes derivatives of NumPy code.
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5 results for “autograd”
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Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
7 daysStars2.8k24h gain-Score0.0
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
7 daysStars17k24h gain-Score0.0
Implementation of a language-level autograd compiler
7 daysStars41324h gain0Score0.0
A deep learning framework built on an autograd engine with high level abstractions and low level control.
7 daysStars19724h gain0Score0.0