Repository for my practice files and notes following Krish Naik's "100 Days of ML" YouTube playlist. This repo includes Jupyter notebooks and datasets organized by day, documenting my learning journey in machine learning.

Univariate Time-Series Anomaly Detection algorithms from TSB-UAD

Bringing heterogenous hardware acceleration to Kotlin machine learning

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

The Machine Learning Module

This repository consist of machine learning models which can be use for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

ToyML: Machine Learning from Scratch

A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cuML - RAPIDS Machine Learning Library

Machine Learning, deep learning Shortcuts

Implementations of various machine learning algorithms

ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.

Sample project demonstrating the use of memoization, dynamic programming, and multi-threading to efficiently handle repeated heavy tasks and optimize performance. Results are cached for quick retrieval, and Multi-Threaded processing accelerates computation.

Android Projects by Me.

Web app for used car price predictions

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

The machine learning toolkit for time series analysis in Python

This is the repository of my study in Machine Learning Zoomcamp from DataTalksClub.