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An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
A memory-efficient implementation of DenseNets
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)
C++ extensions in PyTorch
A faster pytorch implementation of faster r-cnn
Faster RCNN with PyTorch
Feature Pyramid Networks for Object Detection
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
[CVPR 2019, Oral] Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
High-resolution representation learning (HRNets) for Semantic Segmentation
Pytorch implementation of Improved Deep Embedded Clustering
Kind PyTorch Tutorial for beginners
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
一个让脑袋开心的互联网·
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
This is a code repository for pytorch c++ (or libtorch) tutorial.
Code for the Lovász-Softmax loss (CVPR 2018)
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Code for several state-of-the-art papers in object detection and semantic segmentation.
Merlion: A Machine Learning Framework for Time Series Intelligence
Full pipeline of a data science competition (public version)
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
:books: This is note for Machine Learning and having it deep and structrured (Hung-yi Lee)
A mini pytorch inference framework which inspired from darknet.
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
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.