boukamass Goto Github PK
Type: User
Type: User
Slides and talk assets from PyCon 2017
The most cited deep learning papers
Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
Convolutional Neural Network combined with ensemble classifier for land use classification
PyCon.DE 2018 talk “Satellite data is for everyone: insights into modern remote sensing research with open data and Python”
This is a TensorFlow implementation of Convolutional Neural Network for Hyperspectral Image Classification
Python libraries for Google Colaboratory
HSI and LiDAR image fusion based on Deep Learning
Deep Learning Specialization by Andrew Ng on Coursera.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR
deeplearning.ai , By Andrew Ng, All video link
Nationwide houseshold-level solar panel identification with deep learning
A repository for compiling materials from tutorials given at the eScience Institute.
EuroSAT: Land Use and Land Cover Classification with Sentinel-2
A curated list of resources focused on Machine Learning in Geospatial Data Science.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Deep Learning for Land-cover Classification in Hyperspectral Images.
Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
A jupyter notebook serverextension providing config interfaces for nbextensions.
Deep Learning for humans
LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.
IPython notebook documenting a workflow for preprocessing Landsat data
Land Use Classification using Convolutional Neural Network in Keras
Terrain and hydrological analysis based on LiDAR-derived digital elevation models (DEM)
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
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.