DiffSBDD
DDPM_inversion
| DiffSBDD | DDPM_inversion | |
|---|---|---|
| 1 | 1 | |
| 290 | 185 | |
| - | - | |
| 4.9 | 5.6 | |
| 8 months ago | 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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DiffSBDD
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Learn diffusion models with Hugging Face course 🧨
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 :)
DDPM_inversion
What are some alternatives?
OpenChem - OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
minimal-text-diffusion - A minimal implementation of diffusion models for text generation
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.
DiffLinker - DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
video-diffusion-pytorch - Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
EquiBind - EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
const_layout - Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)