Pinned Repositories
Characterizing_graph_influence
COSI148
Notebook wrote for COSI148B
DataInf_healthcare
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
GlycoDenovo2
Matlab version of GlycoDenovo2
GlycoNMR
Data repository for Glycan NMR Chemical shift
GlycoNMR_domain_adaptation
Pretrain on simulation dataset and test on experimental dataset
GlycoscienceDB_preprocess
Data cleaning, preprocessing repository for GlycoscienceDB. Predicting atom shift in glycans NMR data for Both Glycoscience and CASPER
GODESS_preprocess
Data cleaning and preprocessing code for Simulated GODESS dataset, also include a 2D GNN model
Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material discovery, drug discovery, etc.
Cyrus9721's Repositories
Cyrus9721/Characterizing_graph_influence
Cyrus9721/GlycoDenovo2
Matlab version of GlycoDenovo2
Cyrus9721/GlycoNMR
Data repository for Glycan NMR Chemical shift
Cyrus9721/COSI148
Notebook wrote for COSI148B
Cyrus9721/DataInf_healthcare
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
Cyrus9721/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Cyrus9721/GlycoNMR_domain_adaptation
Pretrain on simulation dataset and test on experimental dataset
Cyrus9721/GlycoscienceDB_preprocess
Data cleaning, preprocessing repository for GlycoscienceDB. Predicting atom shift in glycans NMR data for Both Glycoscience and CASPER
Cyrus9721/GODESS_preprocess
Data cleaning and preprocessing code for Simulated GODESS dataset, also include a 2D GNN model
Cyrus9721/Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material discovery, drug discovery, etc.
Cyrus9721/MetaGPT
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
Cyrus9721/MFAssignR
The MFAssignR package was designed for multi-element molecular formula (MF) assignment of ultrahigh resolution mass spectrometry measurements. A number of tools for internal mass recalibration, MF assignment, signal-to-noise evaluation, and unambiguous formula selections are provided.
Cyrus9721/Net2Net
Net2Net implementation on PyTorch for any possible vision layers.
Cyrus9721/sweettalk
Deep learning-based language model for glycan sequences
Cyrus9721/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020