Mike575's repositories

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bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

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CGRtools

CGRs, molecules and reactions manipulation

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chemprop-atom-bond

Message Passing Neural Networks for Atomic/Bond Property Prediction

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darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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eMolFrag

eMolFrag is a molecular fragmentation tool based on BRICS algorithm written in Python.

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GNN

Graph neural networks

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GPT2-Chinese

Chinese version of GPT2 training code, using BERT tokenizer.

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Indigo

Universal cheminformatics libraries, utilities and database search tools

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MCdropout-CYP450Classifcation

Use Monte-Carlo dropout to quantify the uncertainty and excludes the uncertain prediction against CYP450 inhibition dataset.

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Mike575.github.io

My Blog | Mike Lai

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Molecular-graph-BERT

semi-supervised learning for molecular property prediction

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molvec

A feeble attempt at molecular recognition (in the literal sense)

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MoNuSAC-ISBI-2020

[ISBI'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.

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opsin

Open Parser for Systematic IUPAC Nomenclature. Chemical name to structure conversion

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patent-reaction-extraction

Text mining of chemical reactions

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Pyramid-Attention-Networks

PyTorch code for "Pyramid Attention Networks for Image Restoration" with new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution

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pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

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QuPathGeoJSONImportExport

Coincides with blogpost for using geojson and shapely

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RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

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rdchiral

Wrapper for RDKit's RunReactants to improve stereochemistry handling

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Reaction_Data_Cleaning

Chemical reaction data cleaning

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rxn_yields

Code complementing our manuscript on the prediction of chemical reaction yields (http://dx.doi.org/10.26434/chemrxiv.12758474)

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rxnfp

Reaction fingerprints, atlases and classification. Code complementing our Nature Machine Intelligence publication on "Mapping the space of chemical reactions using attention-based neural networks" (http://rdcu.be/cenmd).

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rxnmapper

RXNMapper: Unsupervised attention-guided atom-mapping

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synthesis

Contains results and data from Augmented Transformer article

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USRNet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

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watershed

基于分水岭算法的图像分割

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