Muhammad Noor Fawi

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

curlora. The code repository for the CURLoRA research paper. Stable LLM continual fine-tuning and catastrophic forgetting mitigation.

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.

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

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

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.

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

text-kmeans-clustering-with-python. simple text clustering using kmeans 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

clustering-with-R. Exploring Hierarchical and Kmeans Clustering algorithms in R trying to segment wholesale customers ...

data-compression. Compressing data using Python and compression techniques for better data storage and transfer.

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 ...

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

creating-api-for-machine-learning-model. developing a machine learning model with R and creating an API for it to enable it to connect with other applications and languages such as python and command line.

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

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.

traversing-graphs-using-pytholog. Finding possible paths, shortest ones if possible, in a weighted undirected graph using pytholog library

feature-engineering-and-selection-r. Using R to demonstrate some feature engineering and selection techniques

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

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

calling-c-pthread-from-python. Calling C Posix threads from python through cython

association-rules-with-R. Doing Market Basket Analysis using Apriori Algorithm to recommend items that are frequently bought together to do up-sale using R and deploying the model in a Shiny App.

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

julia-for-data-science. Exploring Julia programming language in doing Data Science and Machine Learning .

classification-with-R. Using Logistic regression to perform Machine Learning Classification task to predict whether a patient is diabetic or not based on certain analysis values.

model-comparison. 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.

linear-Regression-with-R-and-caret. R

simulated-annealing-in-c. Simple implementation of Simulated Annealing optimization algorithm in C