Li Xuhong's Projects
Interpretability and explainability of data and machine learning models
TensorFlow code and pre-trained models for BERT
Model interpretability and understanding for PyTorch
Official electron build of draw.io
PyTorch extensions for high performance and large scale training.
Interpreting Generative Language Models via Optimal Transport
Nothing4
Reproducible Source Codes for the $M^4$ XAI Benchmark
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
OpenMMLab Computer Vision Foundation
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
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)
Application toolkit for pre-trained models of PaddlePaddle(『飞桨』预训练模型应用工具 )
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.
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
PaddlePaddle Entire Process Development Toolkit(『飞桨』深度学习全流程开发工具)
Repository of paper https://arxiv.org/abs/1612.01105
Training PSPNet in Tensorflow. Reproduce the performance from the paper.
A CV Toolkit
Image Generation using Auto Encoder Neural Network in Tensor Flow
RNA foundation model