production

Node.js/Bun Production Process Manager with a built-in Load Balancer.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

The Deterministic Foundation for your SDLC

⚡ Langchain apps in production using Jina & FastAPI

A tool to help you debug TransactionTooLargeExceptions on Android 7+

Core 7 layers of production grade agentic system

Repo for AI Agents The Definitive Guide

A curated, comprehensive collection of open-source AI tools, frameworks, datasets, courses, and seminal papers.

A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.

🧠 Production-grade memory sidecar for AI agents — gbrain + Hindsight + 3-tier recall. Agent-agnostic, battle-tested. | 生产级外挂记忆系统，兼容Hermes/Claude/Cursor等任意AI智能体

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.

It recognize your speech and trained AI Bot will respond(i.e Customer Service, Personal Assistant) using Machine Learning API (DialogFlow, apiai), Speech Recognition, GraphQL, Next.js, React, redux

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

A REST API for vLLM, production ready

A modular framework for building and deploying Retrieval-Augmented Generation (RAG) systems with built-in evaluation and monitoring.

A curated collection of open-source Large Language Model (LLM) projects that are production-ready and can be used for solving real-world problems. This repository focuses on high-performance, scalable LLM solutions across various industries and applications.