aidenfather Goto Github PK
Name: Kitae Kim
Type: User
Name: Kitae Kim
Type: User
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Chris Blog
A curated list of awesome resources for semantic understanding of aerial scene
[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
cuGraph - RAPIDS Graph Analytics Library
Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
A Pytorch implementation of DeepCrack and RoadNet projects.
A faster pytorch implementation of faster r-cnn
Code used for training Faster R-CNN on DOTA
ARIMA model to predict Covid19 Fatalities in US
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
This small tutorial is targeted at researchers that have basic machine learning and Python programming skills that want to implement instance image segmentation for further use in their models.
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
A PyTorch version of mask-rcnn based on torchvision model with VOC dataset format.
prediction using Mask RCNN
Mean Average Precision for Object Detection
[ICIP2021] The official PyTorch implementation of MASK GUIDED ATTENTION FOR FINE-GRAINED PATCHY IMAGE CLASSIFICATION
Function to perform Non Max Suppression
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Code from Jeff Heaton's YouTube videos, articles, and conference presentations.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
A PyTorch implementation of simple Mask R-CNN
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Implementing CNN in PyTorch with Custom Dataset and Transfer 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.