westamine Goto Github PK

followers: 18.0 following: 349.0 repos: 746.0 gists: 7.0

Name: Mohammed El Amin Larabi

Type: User

Company: Beihang University (China)

Bio: PhD in computer science, ML/AI deep learning researcher with application in remote sensing and computer vision.

Location: Algeria

Mohammed El Amin Larabi's Projects

ipose

A Swift app, named 'iPose', for iPhone's pose measurement based on Swift.

ipython-hydra

Set of scripts to automatically launch iptyhon notebooks for each user who hits the page.

itkpocus

An open source library for streaming and preprocessing point-of-care ultrasound video.

jiffylab

zero configuration Python/Unix web based teaching env

kafka-azure-data-engineering-project

Kafka

kaggle-titanic

A Keras/TensorFlow + XGBoost ensemble Neural Network stack.

kema

code and data for the paper `Kernel Manifold Alignment for domain adaptation'

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-fcn

My implementation of Fully Convolutional Neural Networks in Keras

keras-fewshotlearning

Some State-of-the-Art few shot learning algorithms in tensorflow 2

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

keras-spatial

Provides a SpatialDataGenerator class for accessing spatial data.

keras-visualizations

Visualizations of Keras models: architecture, training process, intermediate results, and so on.

khamsat_scraper

Unofficial bot who scrapes not found requests the moment they are published on Khamsat freelance platform using Tor service.

kmcuda

Large scale K-means implementation on NVIDIA GPU / CUDA

kmeans

A CUDA implementation of the k-means clustering algorithm

label-maker

Data Preparation for Satellite Machine Learning

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

ladder-1

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

land-cover-classification-using-sentinel-2-dataset

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

landsat_preprocess

IPython notebook documenting a workflow for preprocessing Landsat data

landscape

Satellites in Global Development

landslide

Research project on building and evaluating deep learning models for landslides detection on satellite images

westamine Goto Github PK

Mohammed El Amin Larabi's Projects

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