Eliza. (ZoeLee0220)

ZoeLee0220

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reaction_yield_nn

Uncertainty-aware prediction of chemical reaction yields with graph neural networks

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reaction_yield_pretrained_gnn

Source code for "Improving Chemical Reaction Yield Prediction Using Pre-Trained Graph Neural Networks"

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rxn_yields

Code complementing our manuscript on the prediction of chemical reaction yields (https://iopscience.iop.org/article/10.1088/2632-2153/abc81d) and data augmentation strategies (https://doi.org/10.26434/chemrxiv.13286741).

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geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

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yield-rxn

Code for the paper: Graph Neural Networks for Predicting Chemical Reaction Performance

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MathModel

研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT

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pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

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Transfer-learning-guided-the-discovery-of-efficient-perovskite-oxide-for-alkaline-water-oxidation

Code and data for "Transfer learning guided the discovery of efficient perovskite oxide for alkaline water oxidation"

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NERF

Code for our paper Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction (ICML 2021)

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MIRACLE

Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction

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MultiHeadVGAEs

Official Repository for different models based on MultiHead VGAEs.

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GexMolGen

Cross-modal generation of molecules from gene expression inputs.

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DKNet

Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".

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bo_photocats

The source code of the Bayesian optimization of photocatalysts research project.

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Deep-Kernel-GP

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

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awesome-free-chatgpt

🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.

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pyGPGO

Bayesian optimization for Python

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ML_System_for_Photosensitizer_Design

This is the code and data by Jiali Li and Pengfei Cai for the paper "Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principle Simulations"

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TreeSmoothing

Post-hoc Regularization of Tree Ensembles

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SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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auto-qchem

Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.

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