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Tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
PyTorch implementation of Barlow Twins.
A simple tool for labeling object bounding boxes in images
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A conversion toolset between different object detection and instance segmentation annotation formats
深度学习论文翻译,包括分类论文,检测论文等
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
[CVPR2017] DeshadowNet implementation
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Faster RCNN with PyTorch
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
A Tensorflow implementation of FPN detection framework.
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
The official code for 'Embedding Global Contrastive and Local Location in Self-Supervised Learning'
https://github.com/CyC2018/Interview-Notebook PDF版本离线阅读
Collection of Keras models used for classification
算法学习笔记
OpenMMLab Detection Toolbox and Benchmark
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
My Open-Source Code
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Pytorch implementation of convolutional neural network visualization techniques
Radam implementation with pytorch in classification
The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
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.