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Name: Liu Liang
Type: User
Name: Liu Liang
Type: User
Works done during Fall'19 term at UNB in DeepLearning field for Adv Remote Sensing course
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
Underexposed Photo Enhancement Using Deep Illumination Estimation
【openlayers】openlayers常用页面demo实例
Interactive Shadow Removal
An implementation of the paper:"Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal" by Jifeng Wang, etc.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Distributed In-Memory Trajectory Analytics
Deep Leaning (DL) for remote sensing image (RSI) classification.
Introduction to convolutional neural networks (CNNs) with a remote sensing example.
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
A PyTorch implementation of "Direction-Aware Spatial Context Features for Shadow Detection" CVPR'18 | T-PAMI'19
Python and JavaScript bindings for calling the Earth Engine API.
Using Jupyter as an Earth Engine IDE - Community Contributions
Example Jupyter Notebooks, including ones that use the Earth Engine Python API
[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision"
Fast, Accurate and Lightweight Super-Resolution models
Restful API framework wrapped around MongoEngine
Fluentbase is a geospatial database, spatial index, and realtime geofence.
Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF)
A graph convolutional neural network for classification of building patterns using spatial vector data
Google Earth Engine subset script & library
Scala library for working with GeoJSON records using Esri's Geometry API for Java
GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
A machine learning project for learning geospatial topology for the paper on https://arxiv.org/abs/1806.03857
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.