YuYangyang's repositories
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, ... 🧠
Applied_Data_Science_with_Python
Code and materials from "Applied Data Science with Python" Specialization by University of Michigan on Coursera.
BI-BE-CS-183-2023
Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023
Capybara
Capybara: A computational tool to measure cell identity and fate transitions
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.
D-CE
An effective landmark free and model free de novo 3D reconstruction method for single cell analysis.
mi4p
Multiple Imputation for Proteomics
ml-jupyter-notebook
Jupyterlab notebook in a GPU enabled docker container for machine learning and deep learning
mlim
mlim: multiple imputation with automated machine learning
mouse-organnogenesis
single-cell ATAC-seq and RNA-seq in mouse embryos
omicverse
A python library for multi omics included bulk and single cell RNA-seq analysis.
project-based-learning
Curated list of project-based tutorials
R_Scripts
Routinely used R scripts in statistical analysis of proteomic experiment results with figure and plot generation
realyuyangyang
Config files for my GitHub profile.
scrnaseq
A single-cell RNAseq pipeline for 10X genomics data
SHAPR_torch
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
spateo-release
Spatiotemporal modeling of spatial transcriptomics
SpatialSort
A spatially aware Bayesian clustering approach that allows for the incorporation of prior biological knowledge.