Popular GitHub Repositories for Dockerized

A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.

Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/CPU ONNX and NVIDIA GPU PyTorch support, handling, and auto-stitching

Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh

Open-Source RAG app with LLM Observability (Langfuse), support for 100+ providers (LiteLLM), Dockerized, Full Type-checking, 100% Test coverage, and more...

Dockerized SOTA SLAM algorithms

Dockerized ROS2 stack for the WATonomous Autonomous Driving Software Pipeline

[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.

Service for quick deploying and using dockerized Computer Vision models

I built a Dockerized private DNS stack that combines Pi-hole for ad-blocking, Unbound as a recursive resolver, and Tailscale VPN for secure, encrypted DNS queries. It’s easy to deploy with Docker Compose and environment-based configs—perfect for my self-hosted network privacy and ad-blocking needs.

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

A dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.

Dockerized LLM inference server with constrained output (JSON mode), built on top of vLLM and outlines. Faster, cheaper and without rate limits. Compare the quality and latency to your current LLM API provider.

Build self-contained local LLM powered SaaS and APIs with no external AI API subscriptions required.

This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of trained machine learning pipeline.

Dockerized Whisper C++ speech-to-text API for easy deployment and rapid integration. Offering the latest stable and nightly builds for efficient audio transcription.

A Dockerized RSS feed fetcher for NLP work, using asyncio

Fully reproducible, Dockerized, step-by-step, tutorial on training and serving a simple sklearn classifier model using mlflow. Detailed blog post published on Towards Data Science.

Dockerized Voicecraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild

This repo showcases a project that transforms ML model training into a simplified, production-ready Kedro Dockerized Pipeline. It emphasizes best MLOps practices, enabling easy training, evaluation, and deployment of models, including XGBoost, LightGBM and Random Forest, with built-in visualization and logging features for effective monitoring.

A Dockerized platform for AI-driven Twitter bots. Developed with a Spring Boot backend using Spring AI, Scheduling, MongoDB and a Next.js frontend.