Highlights of the Month: May 2020
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Keywords: ICLR 2020; multitask learning with fastai; fastai + huggingface; learn2learn
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Keywords: ICLR 2020; multitask learning with fastai; fastai + huggingface; learn2learn
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The notebook version is here.
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Key words: JupyterLab; NMR; WSL; NLP tutorial/recipes
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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.
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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;
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Key words for this month: Functional Groups; Unsupervised/Self-supervised representation leaning; Generative Models;
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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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In the post, I want to generate an interactive visualization of a chemical space. Each point in the map represents a molecule and close points have similar structures. When you move you mouse on a point, the name and structure of the moelcule will show up.