brahim bel-lahcen 's Projects
A knowledge graph model that can genaralize to unseen relationships without any training. Makes use of RMPI graph network along with BERT to learn embeddings for relationships and attempts to generalize from just training on the KG once
API for Food Ordering Management System.
KH Coder: for Quantitative Content Analysis or Text Mining
A Movie and TV series rating system : Made using HTML, CSS, Django, MySQL
Open Source Differentiable Computer Vision Library
An application for identifying movies based on facial recognition of the actors.
Kubernetes Helm charts for OMERO
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
The open platform for image labelling
Flexible, extensible and scalable web-based speech annotation tool
Real estate app powered by Django, React, Redux, Celery, Redis, Nginx, Docker
Port of Google's language-detection library to Python.
This liabary package controls channels and generates a m3u8 list with all channels this libary works with iptv-cms project.
This is oficial iptv-cms project by Felipe Mateus
This package contains the core layouts, classes and other elements for the iptv-channels package.
This a libary package controls all customers and plans integrated with iptv-channels generates a list of channels for each customer to iptv-cms project.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Blockchain enabled e-Library
API Rest em desenvolvimento com o exemplo de uma livraria online, onde é possível verificar todos os dados dos livros que você está emprestado ou livros que gostaria de realizar uma reserva.
LibreTime: Radio Broadcast & Automation Platform
A licence plate recognition service.
Time tracking tool in Saas mode, written in Django/Python, setup for Heroku deployment
To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.
monitor rtmp or hls streams
Live screen cast streaming with HLS server