The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!

Recommendation System for Books using Collaborative Filterings: An ML Project to Recommend 'n' similar Books for a given book, as per the Collaborative users' ratings of the books. This Project also involves the deployment in a Flask Based web application.

This repository serves as a platform where I share articles and implementations related to various machine learning concepts and projects. Through this blog, I aim to document my learning journey and provide insights into the fascinating world of machine learning.

Исследование на тему "Транскодирование изображений JPEG с использованием предсказания коэффициентов ДКП на основе нейронной сети".

Fast, private data connectors for AI ⚡️🤖

A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.

Utilizing machine learning techniques, this project predicts vehicle prices based on features like age, fuel type, and more. Models include Linear Regression, Lasso Regression, and Random Forest. Dataset sourced from Kaggle.

This is my Repository for Deep Learning Project and Works

ML Engineering with MS Azure

A "production-ready" simple project template to quickly start an Artificial Intelligence (AI), Machine Learning (ML) and/or Data Science (DS) project with basic files, branches and directory structure.

This Repo contains a Box Detection Application capable of identifying box containers in conveyor belt pictures.

Study notes and demos.

⛰️ machine learning pipeline for disaster alert

Crack SWE (ML) / DS MAANG Interviews

Companion notebooks for blogs/tutorials on ML4Devs website.

Work-in-progress

UniTrends: Using Telegram API, Kafka, and AWS tools to analyze VISA group chats, refining my YouTube content strategy and gained 10k subscribers through data-driven insights.

An easy-to-use tool for making web service with API from your own Python functions.

Detecting News Generated by LLMs

A project to build an ETL pipeline and ML application to help respond to disaster events faster