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:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
Pytorch implementation of Amulet(ICCV 2017).
计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
Stanford CS231n assignment in 2019 spring
Enhanced-alignment Measure for Binary Foreground Map Evaluation, IJCAI 2018 (Oral)
A One-key fast evaluation on saliency object detection with Muti-thread and GPU implementation including MAE, Max F-measure, S-measure, E-measure.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Data augmentation tool for images
LeetCode刷题记录
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
《机器学习》(西瓜书)代码实战
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
A simple and efficient implementation of SOD metrcis
All Algorithms implemented in Python
Pytorch implementation of convolutional neural network visualization techniques
This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.
A more complete python version (GPU) of the evaluation for salient object detection (with S-measure, Fbw measure, MAE, max/mean/adaptive F-measure, max/mean/adaptive E-measure, PRcurve and F-measure curve)
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
Synchronized Batch Normalization implementation in PyTorch.
测试使用
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.