A lecture note for understanding deep learning

single-cell multimodal omics data analysis

Integrative pathway enrichment analysis of multivariate omics data

A novel method named stDiff investigates the potential of employing diffusion models for single-cell omics generation.

基于Python的开源量化交易平台开发框架

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

some good books

数学系部分课程教材及参考资料，自用，侵删

All notes and materials for the CS229: Machine Learning course by Stanford University

Make Interactive Complex Heatmaps

Python particle tracking toolkit

The swiss army knife of lossless video/audio editing

Pytorch-version BERT-flow: One can apply BERT-flow to any PLM within Pytorch framework.

CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.

An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

Code for data analysis and processing of Brennan et al regarding Zelda's role as a pioneer.

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

SEACR: Sparse Enrichment Analysis for CUT&RUN

MACS -- Model-based Analysis of ChIP-Seq