realyuyangyang

2019_Strunz

Reproducibility repo accompanying Angelidis et al. "Longitudinal single cell transcriptomics reveals Krt8+ alveolar epithelial progenitors in lung regeneration"

anndata

Annotated data.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

APAYNG

Anatomy pics are all you need on Gadgetron

Applied_Data_Science_with_Python

Code and materials from "Applied Data Science with Python" Specialization by University of Michigan on Coursera.

PCA_Analysis

PCA Analysis

pheatmap_1

An example of pheatmap

Python3Cookbook

Using-plotnine-to-plot

Using plotnine to plot

realyuyangyang/Python3Cookbook

realyuyangyang/annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

realyuyangyang/awesome-deep-learning-single-cell-papers

realyuyangyang/Awesome-Medical-Large-Language-Models

Curated papers on Large Language Models in Healthcare and Medical domain

realyuyangyang/BI-BE-CS-183-2023

Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

realyuyangyang/ClusterModels

realyuyangyang/Coursera---Programming-for-Everybody-Getting-Started-with-Python-

this contains all the answers to the quizes and asssignments for "Programming for Everybody (Getting Started with Python)" on Coursera by the University of Michigan.

realyuyangyang/Deep_Learning_Notes

realyuyangyang/FORALL

realyuyangyang/Impute_then_Regress

realyuyangyang/LWM

realyuyangyang/machine-learning-notes

This is the notes of the way of machine learning study. You may find something useful in it.

realyuyangyang/Makefile

realyuyangyang/mi4p

Multiple Imputation for Proteomics

realyuyangyang/ml-jupyter-notebook

Jupyterlab notebook in a GPU enabled docker container for machine learning and deep learning

realyuyangyang/mlim

mlim: multiple imputation with automated machine learning

realyuyangyang/mouse-organnogenesis

single-cell ATAC-seq and RNA-seq in mouse embryos

realyuyangyang/Natural-Language-Processing-Specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

realyuyangyang/omicverse

A python library for multi omics included bulk and single cell RNA-seq analysis.

realyuyangyang/project-based-learning

Curated list of project-based tutorials

realyuyangyang/R_Scripts

Routinely used R scripts in statistical analysis of proteomic experiment results with figure and plot generation

realyuyangyang/realyuyangyang

Config files for my GitHub profile.

realyuyangyang/realyuyangyang.github.io

realyuyangyang/scrnaseq

A single-cell RNAseq pipeline for 10X genomics data

realyuyangyang/scTranslator

realyuyangyang/SequenceProblems

realyuyangyang/SHAPR_torch

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

realyuyangyang/Snakemake

realyuyangyang/spateo-release

Spatiotemporal modeling of spatial transcriptomics

realyuyangyang/SpatialSort

A spatially aware Bayesian clustering approach that allows for the incorporation of prior biological knowledge.