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Name: Ayuba Daniel La'ah
Type: User
Bio: Data Scientist | Space Technology and Satellite Applications | Software Engineer
Name: Ayuba Daniel La'ah
Type: User
Bio: Data Scientist | Space Technology and Satellite Applications | Software Engineer
All Algorithms implemented in Java
A repository for All algorithms implemented in Javascript (for educational purposes only)
PyTorch code and models for V-JEPA self-supervised learning from video.
KBE Spring Boot Microservices
Label-Pixels is a tool for semantic segmentation of remote sensing images using fully convolutional networks (FCNs), designed for extracting the road network from remote sensing imagery and it can be used in other applications applications to label every pixel in the image ( Semantic segmentation).
Experiments with satellite image data
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
Rental Property Management Platform with Mobile App
A response to N26 Coding Challenge
Neural Modules: a toolkit for conversational AI
An app to help people exchange money online without a middleman like a bank or exchange agency
The GUI application for Particl Markeplace and PART coin wallet. A decentralized peer to peer marketplace –free, secure, private, untraceable.
All Algorithms implemented in Python
Implementation of All ▲lgorithms in Python Programming Language
All Algorithms implemented in Python 3
Code for MIT803 Assignment
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
Semantic Segmentation Architectures Implemented in PyTorch
Build a production ready Machine Learning service for real-time prediction using FastAPI
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Resources for deep learning with satellite & aerial imagery
Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
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.