sfoucher Goto Github PK
Name: Samuel Foucher
Type: User
Company: University of Sherbrooke
Bio: Professor, University of Sherbrooke, Dpt. of Applied Geomatics
Location: Sherbrooke
Name: Samuel Foucher
Type: User
Company: University of Sherbrooke
Bio: Professor, University of Sherbrooke, Dpt. of Applied Geomatics
Location: Sherbrooke
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Hands-on Tutorial on Automated Deep Learning
Repo for the CCCOT03 project
Explore machine learning and data science with Codespaces
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
Road network extraction from satellite imagery, with speed and travel time estimates
A reference deployment of the Open Data Cube including automatic indexing of Landsat 8 data.
Docker images for dask
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
Deep Learning Model STAC Extension
PyTorch implementation of DRAGAN (https://arxiv.org/abs/1705.07215)
dzetsaka : classification plugin for Qgis
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Vanilla GAN and WGAN implementations in PyTorch on the FashionMNIST dataset
Deep learning applied to georeferenced datasets
Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"
Demonstration and tutorial notebooks for the Higra library
A cluster computing framework for processing large-scale geospatial data
Intake interface to STAC data catalogs
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
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.