JaneJiayiDong

llm_interview_note

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

machine-learning-interview

算法工程师-机器学习面试题总结

cellxgene

An interactive explorer for single-cell transcriptomics data

Wandb_Tutorial

How to use wandb?

dance

DANCE: a deep learning library and benchmark platform for single-cell analysis

reptile-pytorch

A PyTorch implementation of OpenAI's REPTILE algorithm

Awesome-Optimal-Transport-in-Deep-Learning

a collection of AWESOME things about Optimal Transport in Deep Learning

NeuralOptimalTransport

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)

TOSICA

Transformer for One-Stop Interpretable Cell-type Annotation

manuscript-templates

LaTeX templates for manuscripts. bioRxiv preprint and journal submission templates. For use on Overleaf.

sVAE

tafe-net

Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)

CausalRepID

Experiments to reproduce results in Interventional Causal Representation Learning.

ima-vae

This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).

CEFCON

Deciphering driver regulators of cell fate decisions from single-cell RNA-seq data

scButterfly

A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders

GEARS_misc

DSPIN

Code and example of the D-SPIN framework

inVAE

Invariant Representation learning

RegDiffusion

Diffusion model for gene regulatory network inference.

perturbench

discrepancy_vae

code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions

scPRAM

scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism

scDisInFact

scDisInFact is a single-cell data integration and condition effect prediction framework

sams-vae

Public Codebase supporting the paper "Modeling Cellular Perturbations with The Sparse Additive Mechanism Shift Variational Autoencoder" by Bereket & Karaletsos published in Neurips 2023

scShift

caml

scintegration

single cell integration

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".