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Single-Cell Multimodal Prediction via Transformer
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Provides region velocity estimation and visulization of steady-state model and dynamical model using EM algorithm
A lecture note for understanding deep learning
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.
《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
All notes and materials for the CS229: Machine Learning course by Stanford University
Make Interactive Complex Heatmaps
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