Sijie Chen's starred repositories
spateo-release
Spatiotemporal modeling of spatial transcriptomics
dynamo-release
Inclusive model of expression dynamics with metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
dynamo-release
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
sc-toolbox
A collection of project templates and useful functions for single-cell data analysis with Scanpy.
github-hosts
通过修改Hosts解决国内Github经常抽风访问不到,每日更新
awesome-readme
A curated list of awesome READMEs
pytorch-memonger
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
scDblFinder
Methods for detecting doublets in single-cell sequencing data
ml-in-cosmology
A comprehensive list of published machine learning applications to cosmology
ai-vocabulary-builder
一个使用了 AI 技术的智能生词本工具,特色功能:自动添加生词、读故事助记单词。
funkyheatmap
Visualising data frames as funky heatmaps 📊
rapids-single-cell-examples
Examples of single-cell genomic analysis accelerated with RAPIDS
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
KoopmanLab
A library for Koopman Neural Operator with Pytorch.
FreeProxyTor
翻墙-科学上网、免费翻墙、免费科学上网、代理,加速器、一键翻墙浏览器,自用vps,免费v2ray账号/节点,tor,免费自由上网、墙翻、翻墙梯子,电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网 ETH:0xf1eF026dCF867de23207F3735C617264A8e6BbaD BTC:bc1q0t5wh2uaefjl0t78ud0yamdula3c6d8f3t32qh
lion-pytorch
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
awesome-AI4SingleCell
Must-read papers on deep learning based methodology paper for single cell data analysis