Name: Muhammad Fawi
Type: User
Company: spiderSilk
Bio: Writing code is my hobby, writing fast code is my passion.
Location: Dubai, UAE
Blog: https://minimatech.org
š Iām currently working on a research related to addressing catastrophic forgetting and knowledge degradation upon fine-tuning LLMs especially using LoRA
š My latest research paper Development and Validation of a Deep Learning Model for Histopathological Slide Analysis in Lung Cancer Diagnosis
šØāš» I regularly write AI and Data Science articles on my website https://minimatech.org
š¬ Ask me about AI, Data Science, Reinforcement Learning, LLMs, NLP
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.
autoencoder-and-umap-for-clustering
Clustering the manifold of the embeddings learned by autoencoders in python
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
classification-with-julia
Predict user subscription using Logistic Regression, Decision Tree and Random Forest classifiers in Julia ...
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.
clustering-with-r
Exploring Hierarchical and Kmeans Clustering algorithms in R trying to segment wholesale customers ...
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.
data-compression
Compressing data using Python and compression techniques for better data storage and transfer.
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.
deep-dive-into-lora
deep dive into how LoRA works under the hood, looking at its mathematical foundations by walking through a practical example
deep-neural-networks-with-keras
Building keras deep artificial neural networks to build a classifier able to predict forest cover type ...
drawing-maps-with-r
Using R to draw some maps
explaining-python-model-using-shap
Using SHapley Additive exPlainations (SHAP) library to explain a python machine learning model
feature-engineering-and-selection-r
Using R to demonstrate some feature engineering and selection techniques
fine-tune-bert-for-sentiment-analysis
Building a sentiment classifier on top of BERT's contextualized embeddings
handling-big-files-with-r
Using various R packages and techniques to explore, analyze and sample big data files without reading the whole files.
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
julia-for-data-science
Exploring Julia programming language in doing Data Science and Machine Learning .
kmeans-clustering-with-spark
Creating an sbt Apache Spark application to perform customer segmentation using Spark MLlib KMeans ...
large-data-processing-with-command-line
Processing large data files using different R data.table package and Command Line tools.
learning-c
My first steps in learning C
levenshtein-distance-c
Implementing Levenshtein distance in C and Python
linear-regression-with-julia
Using Julia and its Knet package to predict Online News Popularity fitting Linear Regression Algorithm ...
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
