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LiPingZheng's Projects

imbalanced-learn icon imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

inf-net icon inf-net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

jamie icon jamie

Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)

kse icon kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

lca icon lca

Longitudinal Correlation Analysis

mediationtoolbox icon mediationtoolbox

Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mapping of mediation effects across the brain) and multivariate mediation.

metabolomicscommondiseases icon metabolomicscommondiseases

Downstream analysis for the paper "Metabolomic profiles predict individual multi-disease outcomes in the UK Biobank cohort".

move icon move

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

netdissect icon netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

nibabel icon nibabel

Python package to access a cacophony of neuro-imaging file formats

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

onconpc icon onconpc

Clinical sequencing-based primary site classifier

opentsne icon opentsne

Extensible, parallel implementations of t-SNE

pdd_net icon pdd_net

Probabilistic Dense Displacement Network (3D discrete deep learning registration)

pysustain icon pysustain

Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch_vae_cvae icon pytorch_vae_cvae

pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder

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