mnoorfawi Goto Github PK

followers: 113.0 following: 16.0 repos: 60.0 gists: 15.0

Name: Muhammad Fawi

Type: User

Company: spiderSilk

Bio: I love AI, math, research and writing code.

Location: Dubai, UAE

Blog: https://minimatech.org

Muhammad (Noor) Fawi

🔢 Senior Data Scientist | 🔭 AI Researcher

Passionate about AI, mathematics, research, and coding. Turning complex ideas into elegant and smart solutions.

📄 Recent Research

Research	Impact	Type	Date	DOI / Link
🧠 CURLoRA Stable LLM Fine-Tuning	Mitigating Catastrophic Forgetting	Preprint	July 2024	10.5281/zenodo.12730055
🔬 Deep Learning in Oncology AI-Powered Cancer Diagnosis	Enhancing Histopathological Slide Analysis	Journal Article	April 2024	10.3390/cancers16081506

💡 Areas of Expertise

🛠️ Key Projects

🔎 AI-driven search engine with PyTorch, Neo4j and PySpark
🤖 Deep Reinforcement Learning for continuous learning in search engine
🧠 Fine-tuning open-source LLM to write SQL
🔮 Custom SpaCy NER model with Bayesian Neural Networks
🏥 Deep learning model to predict chronic diseases

📦 Open Source Packages

🔧 Tech Stack

I write about AI and Data Science at my website minimatech.org

Muhammad Fawi's Projects

lstm-autoencoder-for-anomaly-detection

Using LSTM Autoencoder to Detect Anomalies and Classify Rare Events

lzhw

Compression suite for data frames and tabular data files, csv, excel etc. Using LZHW algorithm.

comparing many classification algorithms (Naive Bayes, Logistic Regression, Support Vector Machine) on Spiral Data with tuning SVM's parameters with mentioning Decision Trees and K-Nearest Neighbors implementation.

multi-layer-perceptron-with-julia

Building a deep artificial neural network (Multi-Layer Perceptron MLP) using Julia and its package Knet to predict the Forest Cover Type ...

neo4j-and-postgresql-with-r

Using R to query tables from a PostgreSQL database and then populate a Neo4j Database using its graph query language (cypher) then connecting R to it to query some data.

network-visualization-with-r

visualization actor -> fan network using R

nonlinear-regression

solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).

parallel-knn-with-julia

Applying K-Nearest Neighbors algorithm in parallel with Julia to predict whether income exceeds $50k or not ...

pytholog

Python library that enables using prolog syntax and logic programming in python

pytholog-as-a-logic-database

Using pytholog library, which enables using logic programming in python, as a database and query data with prolog syntax.

recommendation-engine-with-neo4j

Building a movie collaborative-filtering-based recommendation system with neo4j & python ...

recommender-system-in-postgresql-using-python

Using python to build a movie recommendation engine inside postgresql database

reporting-to-word-with-r

Reporting Analysis Results into a Word Document with R

resource-allocation-using-optimization-algorithms

Resource allocation using optimization algorithms and python. Assigning the right resources with the right skills to specific projects or activities with certain requirements.

sentiment-prediction-using-cnn-and-lstm-in-keras

Using Convolutional and Long Short-Term Memory neural networks to classify IMDB Movie Reviews as positive or negative

shiny-app

Summarizing the Top 10 actors, movies, customers, and categories of the DVD Rental data in tables and bar charts and sharing it in a Shiny Web App.

simulated-annealing-in-c

Simple implementation of Simulated Annealing optimization algorithm in C

struct-pie

A set of python modules for data structures. Data structures are written in C and imported into python using cython

text-kmeans-clustering-with-python

simple text clustering using kmeans algorithm

transfer-compressed-data-via-api

Transfer data compressed by lzhw using a REST-ful API built using Flask

traversing-graphs-using-pytholog

Finding possible paths, shortest ones if possible, in a weighted undirected graph using pytholog library

user-and-item-based-recommender

Building a movie recommender system from scratch in python using MovieLens data set.

visualizations-r

Visualizing different types of data with different graphics using R packages and tools, mainly ggplot2

weighted-knn-in-python

Predict house prices using Weighted KNN Algorithm with KDTree for faster nearest neighbors search in Python.