xuyuanchi Goto Github PK

5years

academic-drawing

Providing codes (including Matlab and Python) for presenting experiment results.

advancepytorchgeometrictutorials

here you can find the material used for our Tutorials

ais-impute-tensor-

Matlab Code for Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2018.

an-introduction-to-applied-bioinformatics

Interactive lessons in bioinformatics.

awesome-latex-drawing

Drawing Bayesian networks, graphical models and framework with LaTeX.

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

awesome-multi-omics

List of software packages for multi-omics analysis

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

awesome-reproducible-analysis-of-single-cell-papers

A curated list of awesome reproducible papers in single-cell omics

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

baynorm_papercode

code for producing figures in bayNorm

beautiful-visualization-with-python

python数据可视化之美

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

biomadeira.github.io

👨‍💻Personal homepage

bis

Code and materials to support data analyses and reproduce results from the paper "Distribution-agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation".

biscuit_singlecell_imm_icml_2016

R Codebase for BISCUIT: Infinite Mixture Model to cluster and impute single cells.

books

:books: Books worth reading

cnnm

matlab code for tensor-valued time series forecasting and completion

code_hsi_denoising

collection-of-scientific-plotting

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

delving-deep-into-gans

A curated list of Generative Adversarial Networks (GANs) resources sorted by reputation

descend_manuscript_source_code

easyshu-wechat

微信公众号【EasyShu】博文配套文件

fima

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems (TPAMI 2019)

geotensor

Geometric low-rank tensor completion for color image inpainting.

good-papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers