majarall Goto Github PK

followers: 2.0 following: 13.0 repos: 57.0 gists: 0.0

Name: Mustafa Jarallah

Type: User

Company: Institute for Energy Technology

Location: Halden Norway

About Me - Mustafa Jarallah

👀 I have a passion for both Physics and Computer Science, merging these interests to explore innovative solutions.
🌱 Currently immersed in exciting projects at the intersection of AI and data processing.

Interests and Expertise

🚀 My main focus is on:
- Computer vision in robotics application.
- Semantic search systems utilizing the power of large language models.
- Harnessing Spark and Kafka streams for big data processing.

Projects

Semantic Search Engine

A powerful search system employing state-of-the-art language models for semantic search capabilities.

Big Data Analytics with Spark and Kafka

Designing and implementing scalable big data systems using Apache Spark and Kafka streams.

Timeseries Classification Framework

Developing and refining cutting-edge techniques for efficient timeseries classification.

Get in Touch

📫 I'm open to collaboration and discussions in the realms of Physics, Computer Science, or any intriguing interdisciplinary projects.
💼 Let's connect on LinkedIn.

Mustafa Jarallah's Projects

Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums. This repository is used for developing a production version of the system, based on ideas from the initial prototype.

azureml-template

Template project for Azure ML using Python SDK v2

birdnet-analyzer

BirdNET analyzer for scientific audio data processing.

codellama

Inference code for CodeLlama models

computationalphysics

For best reading of the website use

data

Data and code behind the articles and graphics at FiveThirtyEight

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

dotfiles

dspy

DSPy: The framework for programming—not prompting—foundation models

eda-azure-pipeline

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

elegant_scipy_jupyter

The compiled, clean (not run) Jupyter notebooks for Elegant SciPy

examples

Examples of exercises that accompany Effective Computation in Physics

flask_blog

gazetracking

👀 Eye Tracking library easily implementable to your projects

geilo2024-graphs

geilowinterschool2018

github_website

Website URL

gpt-j-app

Norwegian GPT-J-6B Demo App

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hass-data-detective

Explore and analyse your Home Assistant data

how-to-read-pytorch

Quick, visual, principled introduction to pytorch code through five colab notebooks.

hyperpython

A brief and practical introduction to the solution of hyperbolic conservation laws

issa-pipeline

Description and generation of the ISSA RDF knowledge graph

julia_notebooks

Julia Jupyter/Colab Notebooks

kafka-energy-data-stream

Open energy data service for the danish energy grid

lagrangian_nns

Lagrangian Neural Networks

lammps

Public development project of the LAMMPS MD software package

langflow

⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, LLM and vector store agnostic.