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CNN可视化代码,帮助了解建立GradCam过程, 代码中文注解
A New Optimization Technique for Deep Neural Networks
Object Detection
A Keras implementation of YOLOv4 (Tensorflow backend)
supports training, at least 41.1% mAP.支持训练,至少41.1%mAP。少数的给出精度的复现。
Learn OpenCV : C++ and Python Examples
Lime: Explaining the predictions of any machine learning classifier
Image classification using reinforcement learning and multi-agent system
A PyTorch implementation of center loss on MNIST
Overview of different model interpretability libraries.
joint detection and semantic segmentation, based on ultralytics/yolov5,
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
[ICML2021] What Makes for End-to-End Object Detection
This is an OpenSource Synthetic Aperture Radar simulator
Synthetic Aperture Radar (SAR) Tools and Documents from Earth Big Data LLC
PiML (Python Interpretable Machine Learning) toolbox for model development and model validation
Find local maxima of a 2D image using Python and parallel processing techniques.
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Graph Convolutional Networks in PyTorch
PyTorch code for our paper "Pyramid Attention Networks for Image Restoration" with new SOTA results on multiple image restoration tasks
Pytorch implementation of Center Loss
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
PyTorch implementation of YOLOv4
detector for rotated-objections based on CenterNet/基于CenterNet的旋转目标检测
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
The code of the paper "RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.