The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
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Updated
Jun 23, 2025 - Python
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.
Scaffolding for serving ml model APIs using FastAPI
Kafka variant of the MLOps Level 1 stack
Fast, private data connectors for AI ⚡️🤖
An easy-to-use tool for making web service with API from your own Python functions.
Crack SWE (ML) / DS MAANG Interviews
A task queue for serving machine learning models to a website -- RabbitMQ, Celery, all the good stuff.
A playground for building and serving Retrieval-Augmented Generation (RAG) systems using best practices in MLOps and LLMOps, with open-source tools.
Kids Care AI IOT Device - RaspberryPi USB Mic voice detection and Picamera fall detection.
Classification of scientific articles from Frontiers publisher. Deployment ready. Usable as template for text-classification use-cases.
Demonstrate the key features and benefits of using CircleCI for continuous integration and continuous deployment (CI/CD).
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! 🚀
This neural network can help determine the correspondence of the attached video topic to the video topics recommended by YouTube.
⛰️ machine learning pipeline for disaster alert
A simple Python script to check the strength of a password based on length, the inclusion of numbers, special characters, and upper/lower case letters.
MLOps project Training and Deployment of Spacy model for Sentiment analysis
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