Automatically differentiable Hartree-Fock
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Updated
Nov 22, 2022 - Python
Automatically differentiable Hartree-Fock
Swift for TensorFlow Documentation
Jupyter notebooks for end-to-end differentiable blind tip reconstruction
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Automatic differentiation engine for neural network training (backprop under development).
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A differentiable Python version of NOAA-OWP / cfe using PyTorch, for research and development
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End-to-end differentiable blind tip reconstruction on Colab implemented with PyTorch
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Gradient ascent model to maximize the distance traveled by a servo wheel.
A prototype differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities and supports separate compilation.
crates.io: Differentiable expression templates in Rust.
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