GaoyangLuo
Microbiome Research, Large Language Model, Machine Learning
University of New South Wales & Westlake UniversityHangzhou
Pinned Repositories
adversarial-autoencoder
Chainer implementation of adversarial autoencoder (AAE)
ARGrankerTutorial
An tutorial for arg_ranker and tell the users how to gain the desired result step by step.
bioinformatics-snakemake-pipelines
Collection of Snakemake pipeline for commin bioinformatics tasks
bioinformatics-tools
Here includes a lot of practical bioinformatics tools for members of GMC to use
CLMB
Contrastive Learning for Metagenomic Binning
coatnet-pytorch
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
CompRanking
Metagenomic resistome risk ranking pipeline. It can comprehensively ranking the antimicrobial resistance risk of environmental metagenomic samples, also known as CompRanking.
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Plastisphere_AMR_data_analysis
R code for data analysis
ppr_practice
This script can help you comlete projection-pursuit regression.
GaoyangLuo's Repositories
GaoyangLuo/CompRanking
Metagenomic resistome risk ranking pipeline. It can comprehensively ranking the antimicrobial resistance risk of environmental metagenomic samples, also known as CompRanking.
GaoyangLuo/ARGrankerTutorial
An tutorial for arg_ranker and tell the users how to gain the desired result step by step.
GaoyangLuo/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
GaoyangLuo/bioinformatics-snakemake-pipelines
Collection of Snakemake pipeline for commin bioinformatics tasks
GaoyangLuo/bioinformatics-tools
Here includes a lot of practical bioinformatics tools for members of GMC to use
GaoyangLuo/CLMB
Contrastive Learning for Metagenomic Binning
GaoyangLuo/coatnet-pytorch
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
GaoyangLuo/DeepMicrobeFinder
GaoyangLuo/Plastisphere_AMR_data_analysis
R code for data analysis
GaoyangLuo/ppr_practice
This script can help you comlete projection-pursuit regression.
GaoyangLuo/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
GaoyangLuo/EZBench
GaoyangLuo/GaoyangLuo.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
GaoyangLuo/ictv-mmseqs2-protein-database
GaoyangLuo/ictv-taxdump
NCBI-style taxdump files for International Committee on Taxonomy of Viruses (ICTV)
GaoyangLuo/LLM_text
This repo includes the code about my study on large language model LLM, including the transformer and its derivative model. It will last four months update in total.
GaoyangLuo/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
GaoyangLuo/palm_annot
Scripts, HMMs and search databases for identifying and classifying viral RdRp sequences
GaoyangLuo/palmscan
GaoyangLuo/plascad
Plascad is a computationally efficient tool designed for plasmids classification, antibiotic resistance genes (ARGs) annotation and plasmid visualization.
GaoyangLuo/Python-Data-Analysis
GaoyangLuo/PyTorch-Course-Note
GaoyangLuo/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
GaoyangLuo/pytorch-tutorial-xiaotutui
PyTorch深度学习快速入门教程(绝对通俗易懂!)
GaoyangLuo/Pytorch_QuickTutorial
Introductory to pytorch, including configeration, classical model (CNN, LSTM, BERT, Transformer) and demo practise.
GaoyangLuo/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
GaoyangLuo/RdRp-scan
Exploring the "dusk matter" of the RNA virosphere
GaoyangLuo/Reinforcement_Learning_Tutorial
This repo includes the code about my study on reinforcement. It will last four months update in total.
GaoyangLuo/seekr
A library for counting small kmer frequencies in nucleotide sequences.
GaoyangLuo/skills
个人的技能树仓库,主要包含个人机器学习以及深度学习的笔记