MNoorFawi

pytholog

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

lshashing

python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data

recommender-system-in-postgresql-using-python

Using python to build a movie recommendation engine inside postgresql database

logic-programming-in-python

Mimicking minikanren logic programming in Python using logpy/kanren library.

lzhw

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

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.

autoencoder-and-umap-for-clustering

Clustering the manifold of the embeddings learned by autoencoders in python

struct-pie

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

pytholog-as-a-logic-database

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

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

deep-dive-into-lora

deep dive into how LoRA works under the hood, looking at its mathematical foundations by walking through a practical example

bayesian-neural-networks-for-novel-class

Here in this tutorial, I am trying to address the limitation of many DL models in inferring unseen classes leveraging bayesian neural networks and how they exhibit certainty and uncertainty upon inference.

bstrees

Binary search trees implementation in C

building-recommendation-engine-with-reinforcement-learning

building a movie recommendantion enine leveraging a blend of graph-based machine learning and deep reinforcement learning (DRL).

c-library-in-python-with-ctypes

Importing C libraries into Python using ctypes library

c-pq-scheduler

Using C priority queue library to execute process and scripts in different languages

calling-c-pthread-from-python

Calling C Posix threads from python through cython

data-manipulation-in-parallel-using-command-line

Importing data from a web API in parallel , cleaning it and transforming it with the command line tools.

explaining-python-model-using-shap

Using SHapley Additive exPlainations (SHAP) library to explain a python machine learning model

fine-tune-bert-for-sentiment-analysis

Building a sentiment classifier on top of BERT's contextualized embeddings

hash-bstree

Implementing hash table that uses separate chaining to avoid collisions. While in each indiex it uses binary search tree to achieve faster lookup.

hash_table

Implementing separate chaining hash table data structure in C

ipc-and-pthreads-in-c

Concurrency and interprocess communication through named pipes and shared memory along with parallelism through posix threads to get weather data from an API

learning-c

My first steps in learning C

levenshtein-distance-c

Implementing Levenshtein distance in C and Python

lstm-autoencoder-for-anomaly-detection

Using LSTM Autoencoder to Detect Anomalies and Classify Rare Events

mnoorfawi

simulated-annealing-in-c

Simple implementation of Simulated Annealing optimization algorithm in C

transfer-compressed-data-via-api

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

user-and-item-based-recommender

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