fanyi21 Goto Github PK

aibio-lab.github.io

aibiolab

aibiolab2.0

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

bavaria

Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq datasets

benchmark_sc_multiomic_integration

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

books

brca_cell_atlas

Data processing and analysis related code associated with the study "A single-cell and spatially resolved atlas of human breast cancers".

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

demo

Differential Evolution for Multiobjective Optimization and its variants

depf

dynamic ensemble pruning framework

diffusevae

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

dsn

Pytorch implementation of Domain Separation Networks

fanyi21.github.io

My Hexo blog

isobayes_manuscript

Scripts used to run the analyses in IsoBayes manuscript

keras-gan

Keras implementations of Generative Adversarial Networks.

kpandey008.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

leedl-tutorial

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mouse_organogenesis_10x_multiome_publication

Code to reproduce the analysis of "Decoding gene regulation in the mouse embryo using single-cell multi-omics""

multidepf

multidgd

pegasus

A tool for analyzing trascriptomes of millions of single cells.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-multi-gpu-training-tutorial

renin

Regulatory Network Inference with single cell multiomic data

scale

Single-cell ATAC-seq analysis via Latent feature Extraction

scarlink

scatacseq-analysis-notes

my notes for scATACseq analysis