Popular GitHub Repositories for Deployments

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

A developer CLI that reduces the time it takes to get started on Azure. The Azure Developer CLI (azd) provides commands that map to key workflow stages: code, build, deploy, monitor, repeat.

The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

ML pipeline orchestration and model deployments on Kubernetes.

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

Unity CI/CD pipeline with multi-platform builds, releases, and deploys

An Eclipse AI Assistant that connects with SAP AI Core deployments to provide a "copilot" experience to ABAP Developers on the cloud and on-premise

Compares the DistilBERT and MobileBERT architectures for mobile deployments.

Next.js app for serverless deployments of Stable Diffusion on Banana.dev

Intelligent AI infrastructure orchestration platform that unifies local self-hosted models with cloud providers through smart routing, enabling cost-effective, privacy-aware and highly available AI deployments.

Submit your prompts to the Azure Deployments team for AI or Copilot to help prioritize and improve your infrastructure-as-code (IaC) experiences.

Samples using AWS Terraform modules to accelerate your Infrastructure-as-Code deployments for generative AI workloads.

Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.

AuraMatrix is personality analysis web which using llm to do evaluation. I have made this for Gyanotsav-2025 to show different ways to utilize llm for personal use to my fellow engineers . This is my first production ready project so, don't judge me on huge amounts of commits and deployments?.

?? Generative AI Projects ?? A hands-on repository for Generative AI projects! ?? Explore model building, fine-tuning, and RAG techniques. Includes experiments with open-source models like LLaMA and Gemma, plus deployments using OpenAI and Google Gemini APIs. ?

⽊ noctira is a multifaceted agentic framework for deepseek-r1, inspired by many open-source frameworks and focused on blockchain and decentralized deployments ?‍☠️

Computer Vision facial recognition system that distributes the computational load between edge and cloud processing nodes to lower the bandwidth requirements and cost for video surveillance systems and deployments.

A lightweight, GPU-focused framework to run inference and LoRA fine-tuning on Google’s Gemma 3n family (`1.1B`, `2B`). Designed for small-scale deployments such as chatbots, assistants, or domain-specific Q&A systems.

Bench360 is a modular benchmarking suite for local LLM deployments. It offers a full-stack, extensible pipeline to evaluate the latency, throughput, quality, and cost of LLM inference on consumer and enterprise GPUs. Bench360 supports flexible backends, tasks and scenarios, enabling fair and reproducible comparisons for researchers & practitioners.

QDP Studio is a unified framework for deep learning model compression. It combines quantization, pruning, and decomposition to reduce model size, improve inference speed, and maintain accuracy. Its streamlined pipeline for training, compressing, and evaluating models optimizes deployments in resource-constrained environments.