The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

Kafka variant of the MLOps Level 1 stack

Scaffolding for serving ml model APIs using FastAPI

Fast, private data connectors for AI ⚡️🤖

Missing Data Doctor is a diagnostic and treatment toolkit for missing values in machine learning datasets. It profiles missingness patterns, visualizes gaps, applies multiple imputation strategies, and evaluates their impact on model performance. Includes automated plots, metrics, and a full HTML report.

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

Crack SWE (ML) / DS MAANG Interviews

All About ML Engineering

A playground for building and serving Retrieval-Augmented Generation (RAG) systems using best practices in MLOps and LLMOps, with open-source tools.

Enterprise ML software

A task queue for serving machine learning models to a website -- RabbitMQ, Celery, all the good stuff.

Kids Care AI IOT Device - RaspberryPi USB Mic voice detection and Picamera fall detection.

A complete production-ready MLOps framework with built-in distributed training, monitoring, and CI/CD. Deploy ML models to production with confidence using our battle-tested infrastructure.

Incremental learning with CatBoost and Ray for scalable training, tuning, and serving of large ML models

Demonstrate the key features and benefits of using CircleCI for continuous integration and continuous deployment (CI/CD).

Classification of scientific articles from Frontiers publisher. Deployment ready. Usable as template for text-classification use-cases.

BentoML is a high-performance model serving framework it provides various scripts and configurations to help streamline and deployment process.

ML Project Generator – A simple and efficient CLI tool that automates the setup of machine learning projects. Instantly create a well-structured ML project with the right folders, boilerplate code, and dependencies in just one command! 🚀