kwalid Goto Github PK
Type: User
Type: User
Augmentations usage examples for albumentations library
Documentation and samples for ArcGIS API for Python
Image augmentation library in Python for machine learning.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Caffe: a fast open framework for deep learning.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
A technical report on convolution arithmetic in the context of deep learning
Installation support for Deep Learning Frameworks for the ArcGIS System
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Detecting region lithology using deep learning and remote sensing
This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
A series of Jupyter notebook to learn Google Earth Engine with Python
Satellite Image Classification using semantic segmentation methods in deep learning
The fastai deep learning library, plus lessons and tutorials
For part 3 of Fast.ai
The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data.
:pushpin: A guide for amateurs pen testers and a collection of hacking tools, resources and references to practice ethical hacking, pen testing and web security.
Hands-On Computer Vision with TensorFlow 2, published by Packt
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Experiments with satellite image data
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The repository provides usefull python scripts for ML and data analysis
A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-
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.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
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.