A scalable PyTorch template for any differentiable graph computation project.
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Updated
Jun 4, 2019 - Python
A scalable PyTorch template for any differentiable graph computation project.
Fixed-point iteration is a method of computing fixed points of a function, which is used with Newton's method to find roots of a differentiable function.
Fully-Differentiable ICP in PyTorch
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
A differentiable simulator for robotic systems.
Julia implementation of the DIVE algorithm for finding voids in a point set with applications in observational cosmology.
Implementing a Differential Evolution Algorithm in Global Optimization Problems for 16 Differentiable and Non-Differentiable Functions in Matlab
Network of logic gates with learning based on backpropagation using numpy.
[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)
crates.io: Differentiable expression templates in Rust.
Official Code for Face Relighting with Geometrically Consistent Shadows (CVPR 2022)
Performant, differentiable reinforcement learning
JAX-DIPS is a differentiable interfacial PDE solver.
Code repository for the 2023 MICCAI Paper "Differentiable Beamforming for Ultrasound Autofocusing"
Space-Time Attention with Shifted Non-Local Search
Fast Differentiable Sorting and Ranking
Differentiable trajectory optimization in Julia.
A differentiable physics engine for robotics
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