Popular GitHub Repositories for Heroku Container Registry

Tengine is a lite, high performance, modular inference engine for embedded device

a self-hosted solution for running ai-generated code in secure sandboxes

Containerized versions of hundreds of MCP servers ? ?

Effortlessly run LLM backends, APIs, frontends, and services with one command.

dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.

IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two demos including a fully encrypted Machine Learning inference with a Neural Network and a Privacy-Preserving key-value search.

? ??? ???? ????? ?-????? ????? ????????? | ????? ??? & ????? for free by designing, building and deploying an end-to-end ML batch system ~ ?????? ???? + 2.5 ????? ?? ??????? & ????? ?????????

Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

? A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day?

CLI MCP package manager & registry for all platforms and all clients. Search & configure MCP servers. Advanced Router & Profile features.

GPU environment and cluster management with LLM support

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs.

Run your deep learning workloads on Kubernetes more easily and efficiently.

Docker for Your ML/DL Models Based on OCI Artifacts

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Automatic Web Article Summarizer

Serve machine learning models within a ? Docker container using ? Amazon SageMaker.

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

PostBot 3000 is an open-source project that shows how to build a powerful AI agent and stream responses and generate artifacts. This project makes it easier for anyone looking to implement similar solutions.