/tools/Uni-3DAR
Uni-3DAR
dptech-corp/Uni-3DAR
summary
Uni-3DAR is an autoregressive model designed for unified 3D generation and understanding of molecular structures, proteins, and crystals. It supports diverse tasks including molecular property prediction and generation, utilizing pretrained models and datasets for training and inference.
description
Implementation of paper "Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens"
topics
3d-modelsgenerative-aimachine-learningmolecular-docking
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