mlops
There are 2790 repositories under mlops topic.
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
jina-ai/serve
☁️ Build multimodal AI applications with cloud-native stack
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
argoproj/argo-workflows
Workflow Engine for Kubernetes
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
stas00/ml-engineering
Machine Learning Engineering Open Book
visenger/awesome-mlops
A curated list of references for MLOps
weaviate/weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
bentoml/OpenLLM
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
great-expectations/great_expectations
Always know what to expect from your data.
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Netflix/metaflow
Build, Manage and Deploy AI/ML Systems
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
bentoml/BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
flyteorg/flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
clearml/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
feast-dev/feast
The Open Source Feature Store for AI/ML
aimhubio/aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
superduper-io/superduper
Superduper: End-to-end framework for building custom AI applications and agents.
tensorchord/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
ashleve/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
SeldonIO/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
zenml-io/zenml
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
argilla-io/argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets