gRNAde: Geometric Deep Learning for 3D RNA inverse design
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Updated
Jun 4, 2024 - Jupyter Notebook
gRNAde: Geometric Deep Learning for 3D RNA inverse design
[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Optimization and inverse design of photonic crystals using deep reinforcement learning
Silicon Photonics Design Tools.
This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simulation cost compared to conventional methods.
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
A collection of inverse design challenges
[ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen in training for physical simulation
Simulation and Optimization Library for Integrated Optics in Julia.
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics, KDD'23
Exposing Algorithmic Bias with Canonical Sets
Genetic Lookup for Apt Substances
Inverse Design of PIC devices for generating coherent optical lattice in a 2D slab region.
Inverse design of inflatable membranes via machine learning
The code for the work presented in the research paper titled "***"
Co-Optimization of Composition in CrabNet
Algorithms for inverse design
Find optimal input of machine learning model.
Add a description, image, and links to the inverse-design topic page so that developers can more easily learn about it.
To associate your repository with the inverse-design topic, visit your repo's landing page and select "manage topics."