DiffSBDD VS OpenChem

Compare DiffSBDD vs OpenChem and see what are their differences.

DiffSBDD

A Euclidean diffusion model for structure-based drug design. (by arneschneuing)
ddpm drug-design equivariance generative-model graph-neural-networks Machine Learning
Source Code
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OpenChem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research (by Mariewelt)
computational-chemistry computational-biology Deep Learning deep-neural-networks graph-convolutional-networks drug-discovery drug-design qsar predictive-modeling Machine Learning Pytorch
Source Code
mariewelt.github.io
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DiffSBDD OpenChem
1 1
290 657
- -
4.9 0.0
8 months ago 5 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DiffSBDD

Posts with mentions or reviews of DiffSBDD. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-04.
  • Learn diffusion models with Hugging Face course 🧨
    2 projects | /r/learnmachinelearning | 4 Nov 2022
    I'm referring to recent works like DiffLinker (https://github.com/igashov/DiffLinker) and DiffSBDD (https://github.com/arneschneuing/diffsbdd) which use diffusion to generate new ligands or fragments of molecules. If there's enough interest, we could find space to include these exciting topics in the course :)

OpenChem

Posts with mentions or reviews of OpenChem. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DiffSBDD and OpenChem you can also consider the following projects:

minimal-text-diffusion - A minimal implementation of diffusion models for text generation

NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

DiffLinker - DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design

chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

DDPM_inversion - Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.

pixel - Research code for pixel-based encoders of language (PIXEL)

DenoisingDiffusionProbabilityModel-ddpm- - This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Clairvoyante - Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing

DiffSBDD vs minimal-text-diffusion OpenChem vs NeuralCDE DiffSBDD vs DiffLinker OpenChem vs chemicalx DiffSBDD vs DDPM_inversion OpenChem vs pixel DiffSBDD vs DenoisingDiffusionProbabilityModel-ddpm- OpenChem vs Clairvoyante