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Hi there 👋, I'm Li Xuhong.

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I'm a researcher at Baidu Research and interested in Interpretable Deep Learning, Explainable AI, and Transfer Learning.

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Li Xuhong's Projects

aix360 icon aix360

Interpretability and explainability of data and machine learning models

bert icon bert

TensorFlow code and pre-trained models for BERT

captum icon captum

Model interpretability and understanding for PyTorch

fairscale icon fairscale

PyTorch extensions for high performance and large scale training.

mindspore icon mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

mmselfsup icon mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

paddle icon paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

paddlehub icon paddlehub

Application toolkit for pre-trained models of PaddlePaddle(『飞桨』预训练模型应用工具 )

paddleseg icon paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

paddlevideo icon paddlevideo

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

paddlex icon paddlex

PaddlePaddle Entire Process Development Toolkit(『飞桨』深度学习全流程开发工具)

pspnet icon pspnet

Repository of paper https://arxiv.org/abs/1612.01105

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