Julia implementation of the DIVE algorithm for finding voids in a point set with applications in observational cosmology.
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Updated
Sep 13, 2022 - Julia
Julia implementation of the DIVE algorithm for finding voids in a point set with applications in observational cosmology.
A scalable PyTorch template for any differentiable graph computation project.
Network of logic gates with learning based on backpropagation using numpy.
Space-Time Attention with a Shifted Non-Local Search
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.
crates.io: Differentiable expression templates in Rust.
A differentiable visibility simulator based on spherical harmonics
2D Toolbox for Differentiable Ray Tracing
python torch library for polygon / contour to image (mask, distance map) processing and more
Code repository for the 2023 MICCAI Paper "Differentiable Beamforming for Ultrasound Autofocusing"
Performant, differentiable reinforcement learning
(differentiable) gradient-based optimization on a chemical graph for de novo molecule design/optimization (ICLR 2022)
A differentiable simulator for robotic systems.
Fully-Differentiable ICP in PyTorch
JAX-DIPS is a differentiable interfacial PDE solver.
differentiable boltzmann code
Differentiable trajectory optimization in Julia.
[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)
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