AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
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Updated
Oct 20, 2022 - Python
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
Este proyecto es una aplicación web que utiliza la API de OpenAI para generar automáticamente presentaciones educativas. La aplicación permite a los usuarios ingresar información sobre el tema de la clase, la duración, el nivel educativo y las palabras clave relevantes.
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
GPT (Generative Pre-trained Transformer) for de novo molecular design by enforcing specified targets
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network (GNN)-based model that uses knowledge graph for SL prediction.
[ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
ImageMol is a molecular image-based pre-training deep learning framework for computational drug discovery.
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
「機械学習による分子最適化」のサポートページ
ChatCell: Facilitating Single-Cell Analysis with Natural Language
The official implementation of LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion (NeurIPS 2023 Spotlight)
The official code for "TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation"
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"
[ICML 2024] LSH-Based Efficient Point Transformer (HEPT)
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