westamine Goto Github PK
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
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
Data Camp: Data Scientist with Python
An experimental hosted platform (GitHub-like) for organizing, managing, sharing, collaborating, and making sense of data.
Learn Data Science with focus on adding value with the most efficient tech stack.
Python interactive dashboards for learning data science
Here I'll publish all of my personal projects that relate to Data Science in Marketing
Data preparation
Feature fusion using Discriminant Correlation Analysis (DCA)
DCGAN and WGAN implementation on Keras for Bird Generation
Deep Convolutional Generative Adverserial Networks
A torch implementation of http://arxiv.org/abs/1511.06434
Deep Convolutional Generative Adversarial Networks
Final project for the Data Engineering Zoomcamp 2023
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
Primitive implementation of Deconvnet, used to visualize CNN. Just for fun :)
Predict facial landmarks with Deep CNNs powered by Caffe.
Repo for the Deep Learning Nanodegree Foundations program.
Deep learning +
Deep Learning Specialization by Andrew Ng on Coursera.
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
Collection of papers and other resources for object tracking and detection using deep learning
Udacity's Deep Learning Nano Foundation program.
List of papers, code and experiments using deep learning for time series forecasting
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Residual Learning for Image Recognition
Code release for DeepBox paper in ICCV 2015
Code for the ICCV 2015 paper "Discriminative Learning of Deep Convolutional Feature Point Descriptors"
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.