MengqiYe (Mengqi-Ye)

Mengqi-Ye

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Company:Vrije Universiteit Amsterdam

Location:Amsterdam

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MengqiYe's starred repositories

instance-segmentation-maskrcnn

Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network

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torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Language:PythonLicense:MITStargazers:2392Issues:0Issues:0

electrical_substation_detection

Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance segmentation of substations using UNet, Albumentations for image augmentation, and OpenCV for computer vision tasks.

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worksheets

Worksheets to get started with the python software stack

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ByLabel

This is a tool for image and video annotation.

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deep-learning-frameworks

Installation support for Deep Learning Frameworks for the ArcGIS System

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deep_learning_object_detection

A paper list of object detection using deep learning.

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ComparativeStudy

Code for paper: "Road object detection: a comparative study of deep learning-based algorithms" https://link.springer.com/article/10.1007/s11042-022-12447-5

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sagely

ML pipeline tutorials for OSM labels to AWS Sagemaker

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Smoothly-Blend-Image-Patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

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RotationDetection

This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

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Mask_RCNN

Matterport's Mask R-CNN library (Added Ship Detection sample) for object detection and instance segmentation on Keras and TensorFlow

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awesome-aerial-object-detection

A curated list of papers for object detection in aerial scenes and related application resources

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dstl_unet

Dstl Satellite Imagery Feature Detection

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road_connectivity

Improved Road Connectivity by Joint Learning of Orientation and Segmentation (CVPR2019)

Language:Jupyter NotebookLicense:MITStargazers:116Issues:0Issues:0

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Language:Jupyter NotebookLicense:AGPL-3.0Stargazers:11078Issues:0Issues:0

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

License:MITStargazers:3589Issues:0Issues:0

label-maker

Data Preparation for Satellite Machine Learning

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Data-Analysis

Data Science Using Python

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Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Language:Jupyter NotebookLicense:BSD-2-ClauseStargazers:3054Issues:0Issues:0

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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pandas_alive

Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`

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traceback_with_variables

Adds variables to python traceback. Simple, lightweight, controllable. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each frame in a stacktrace, showing every value. Dump locals environments after errors to console, files, and loggers. Works in Jupyter and IPython. Install with pip or conda.

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conda

A system-level, binary package and environment manager running on all major operating systems and platforms.

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earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Language:Jupyter NotebookLicense:MITStargazers:1350Issues:0Issues:0

U-Net-Satellite

Road Detection from satellite images using U-Net.

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DS-python-geospatial

Python for GIS and Geoscience - specialist course Doctoral schools of Ghent University

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:173Issues:0Issues:0

Electrification_SSA_data

Script and data from: "A Gridded Dataset to Assess Electrification in Sub-Saharan Africa" by Giacomo Falchetta, Shonali Pachauri, Simon Parkinson, and Ed Byers

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techniques

Techniques for deep learning with satellite & aerial imagery

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