My RDKit Cheatsheet
Published:
Cheatsheet for RDKit
package in python: (1) Draw molecules in jupyter enviroment; (2) use with Pandas Dataframe
(3) Descriptors/Fingerprints and (4) Similarity Search etc.
Published:
Cheatsheet for RDKit
package in python: (1) Draw molecules in jupyter enviroment; (2) use with Pandas Dataframe
(3) Descriptors/Fingerprints and (4) Similarity Search etc.
Published:
A walk through of DGL
library. Deep Graph library (DGL) is a Python package built for easy implementation of graph neural network model family on top of existing deep learning framework (e.g., Pytorch, MXNet etc.). More detials can be found on the official website.
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Keywords: ICLR 2020; multitask learning with fastai; fastai + huggingface; learn2learn
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Key words: JupyterLab; NMR; WSL; NLP tutorial/recipes
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Key words Sub-Word Tokenization; Ligand-Based Virtual Screening; Meta Learning; ELECTRA;
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Key words for this month: Reformer; TMAP; libmolgrid;
Published:
Key words for this month: Functional Groups; Unsupervised/Self-supervised representation leaning; Generative Models;
Published:
Cheatsheet for RDKit
package in python: (1) Draw molecules in jupyter enviroment; (2) use with Pandas Dataframe
(3) Descriptors/Fingerprints and (4) Similarity Search etc.
Published:
The notebook version is here.