华为MindSporeAI框架学习。

Base on MindSpore platform，applied Pixel Level Balancing (PLB) in a Faster_rcnn model

基于MindSpore深度学习框架的四元数数据结构

帮你快速完成mindspore环境搭建

This is a Mindspore implementation of "A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels" accepted by IEEE TCSVT 2022.

NanoDet 是一个速度超快和轻量级的移动端 Anchor-free 目标检测模型。它基于 FCOS 结构的单阶段anchor-free目标检测模型，使用 Generalized Focal Loss 作为分类和回归损失。

A Mindspore Implementation of paper "Show and Tell : Neural Image Caption Generation"

A Mindspore Implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention".

the mindspore source code of "Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking", In WSDM'23.

基于MindSpore2.0的湍流建模