mlops

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

Making data lake work for time series

A Data Engineering & Machine Learning Knowledge Hub

Efficient Deep Learning Systems course materials

An open-source ML pipeline development platform

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

🧠 Motorhead is a memory and information retrieval server for LLMs.

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

PostgreSQL vector database extension for building AI applications

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

LightlyStudio - The Unified Data Platform for Multimodal ML

A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization. vLLM, SGLang, quantization, speculative decoding, benchmarking.

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

List of Deep Learning Cloud Providers

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Learn how to create, develop, and maintain a state-of-the-art MLOps code base

Open Source Data Annotation & Labeling Tools

NucliaDB, The AI Search database for RAG

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale

Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.