Explore live open-source projects and AI models.

A collection of high-performance data science workflows using RAPIDS libraries — cuDF for accelerated data processing, cuML for GPU-powered machine learning, and cuGraph for large-scale graph analytics. Includes notebooks, benchmarks, and end-to-end GPU-optimized pipelines.

Hello and welcome to my Data Science portfolio! This repository serves as a central hub showcasing a collection of my projects demonstrating skills and experience in data analysis, machine learning, and artificial intelligence. Each project folder contains Jupyter Notebooks with detailed code, ex... Read more

Sparse Matrix Factorization (SMF) is a key component in many machine learning problems and there exist a verity a applications in real-world problems such as recommendation systems, estimating missing values, gene expression modeling, intelligent tutoring systems (ITSs), etc. There are differe... Read more

Understanding gender differences in professional European football through Machine Learning interpretability and match actions data. This repository contains the full data pipeline implemented for the study *Understanding gender differences in professional European football through Machine Learni... Read more

Sentiment Analysis with Insights using NLP and Dash This project show the sentiment analysis of text data using NLP and Dash. I used Amazon reviews dataset to train the model and further scrap the reviews from Etsy.com in order to test my model. Prerequisites: Python3 Amazon Dataset (3.6GB) Anac... Read more

Collection of Machine Learning examples using MLEK CMSIS-pack.

A curated collection of machine learning resources

A Collection of Different Machine Learning Projects From Different Domains by @abhayparashar31

My personal collection for some Machine Learning Lecture/ Tutorial Notes

Collection of Lectures, Articles, Slides and Papers for Deeplearning (+Machine Learning)