xzliu6's Stars
Shen-Lab/LDM-3DG
[ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
YangLing0818/IPDiff
[ICLR 2024] Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
gracezhao1997/EEGSDE
This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)
bytedance/DecompDiff
The official implementation of DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design (ICML 2023)
YangLing0818/IRDiff
[ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
hello-maker/PIDiff
Implementation of the Paper "Physics Informed Diffusion Model for Protein Pocket Specific 3D Molecular Generation" published in Computers in Biology and medicine.
mhlee216/MGCVAE
Code for "MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder" (https://doi.org/10.1021/acs.jcim.2c00487)
asarigun/awesome-denovo-papers
Awesome De novo drugs design papers
BioinfoMachineLearning/GCDM-SBDD
A geometry-complete diffusion generative model (GCDM) for structure-based drug design (Nature CommsChem)
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
EDAPINENUT/CBGBench
Official code repository of < CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph >
akshgarg7/cfgedm
ASK-Berkeley/BADGER-SBDD
Official code base for "General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design"
divelab/DIG
A library for graph deep learning research
freeCodeCamp/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
divelab/AIRS
Artificial Intelligence Research for Science (AIRS)
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
arneschneuing/DiffSBDD
A Euclidean diffusion model for structure-based drug design.
BioinfoMachineLearning/bio-diffusion
A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization (Nature CommsChem)
tomer196/GaUDI
Guided Diffusion Model for Molecular Inverse Design
conghaowang/GLDM
MinkaiXu/GeoLDM
Geometric Latent Diffusion Models for 3D Molecule Generation
ehoogeboom/e3_diffusion_for_molecules
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
guanjq/targetdiff
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
MoleculeAI/TAGMol
TAGMol: Target-Aware Gradient-guided Molecule Generation
Valdes-Tresanco-MS/AutoDockTools_py3
Python3 translation of AutoDockTools
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
molecularsets/moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
CMACH508/KGDiff
Towards Explainable Target-Aware Molecule Generation with Knowledge Guidance