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Name: Mengying
Type: User
Company: sysu
Location: China
Name: Mengying
Type: User
Company: sysu
Location: China
A list of papers on arxiv that have published project code.
A curated list of deep learning image classification papers and codes
Classification models trained on ImageNet. Keras.
COCO API - Dataset @ http://cocodataset.org/
This repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Attempting to make the Deep Learning Book easier to understand.
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 paper list of object detection using deep learning.
A deep neural network package for R
A Pytorch implementation of DeepCrack and RoadNet projects.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
A series of Jupyter notebook to learn Google Earth Engine with Python
Age Progression/Regression by Conditional Adversarial Autoencoder
A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.
A faster pytorch implementation of faster r-cnn
A set of command line utilities and Python modules that implement the ‘fmask’ algorithm
spatiotemporal fusion method
Google Earth Engine Python API Document
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data
DNN for phenological stage detection on herbarium specimens
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
CNNRs method for identifying leaf phenology
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.