mlops

There are 3875 repositories under mlops topic.

  • Made-With-ML

    GokuMohandas/Made-With-ML

    Learn how to design, develop, deploy and iterate on production-grade ML applications.

    Language:Jupyter Notebook44.2k1.3k746.9k
  • airflow

    apache/airflow

    Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

    Language:Python43.1k75813.1k15.9k
  • qdrant

    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/

    Language:Rust27k1451.6k1.9k
  • label-studio

    HumanSignal/label-studio

    Label Studio is a multi-type data labeling and annotation tool with standardized output format

    Language:JavaScript25.4k1832.7k3.2k
  • mlflow

    mlflow/mlflow

    The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

    Language:Python22.9k3144.7k5k
  • serve

    jina-ai/serve

    ☁️ Build multimodal AI applications with cloud-native stack

    Language:Python21.8k2121.9k2.2k
  • EthicalML/awesome-production-machine-learning

    A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  • taipy

    Avaiga/taipy

    Turns Data and AI algorithms into production-ready web applications in no time.

    Language:Python18.9k811.1k2k
  • argoproj/argo-workflows

    Workflow Engine for Kubernetes

    Language:Go16.2k1996.4k3.4k
  • stas00/ml-engineering

    Machine Learning Engineering Open Book

    Language:Python15.7k13338957
  • weaviate

    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​.

    Language:Go15k1312.6k1.1k
  • NirDiamant/agents-towards-production

    This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

    Language:Jupyter Notebook14.8k18471.9k
  • dagster-io/dagster

    An orchestration platform for the development, production, and observation of data assets.

    Language:Python14.4k1208.2k1.9k
  • nni

    microsoft/nni

    An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

    Language:Python14.3k2782.1k1.8k
  • mlops-zoomcamp

    DataTalksClub/mlops-zoomcamp

    Free MLOps course from DataTalks.Club

    Language:Jupyter Notebook13.6k206982.7k
  • visenger/awesome-mlops

    A curated list of references for MLOps

  • bentoml/OpenLLM

    Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

    Language:Python11.9k60279786
  • great-expectations/great_expectations

    Always know what to expect from your data.

    Language:Python10.9k842k1.6k
  • aws/amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

    Language:Jupyter Notebook10.8k2701.5k7k
  • kedro

    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.

    Language:Python10.6k1002.4k972
  • tensorzero

    tensorzero/tensorzero

    TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.

    Language:Rust10.5k691.4k724
  • wandb

    wandb/wandb

    The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

    Language:Python10.5k593.7k795
  • chiphuyen/machine-learning-systems-design

    A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

    Language:HTML9.6k302101.5k
  • metaflow

    Netflix/metaflow

    Build, Manage and Deploy AI/ML Systems

    Language:Python9.6k289742929
  • 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

    Language:Python8.9k97475692
  • BentoML

    bentoml/BentoML

    The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

    Language:Python8.2k781.1k885
  • microsoft/agent-lightning

    The absolute trainer to light up AI agents.

    Language:Python7.6k3976584
  • 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.

    Language:Jupyter Notebook6.8k49460740
  • flyte

    flyteorg/flyte

    Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

    Language:Go6.6k2533.5k757
  • feast-dev/feast

    The Open Source Feature Store for AI/ML

    Language:Python6.5k711.7k1.2k
  • clearml

    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

    Language:Python6.4k911.2k718
  • SkalskiP/courses

    This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

    Language:Python6.2k998565
  • aimhubio/aim

    Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

    Language:Python5.9k391.1k361
  • lancedb/lance

    Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

    Language:Rust5.7k471.8k470
  • tensorchord/Awesome-LLMOps

    An awesome & curated list of best LLMOps tools for developers

    Language:Shell5.4k899524
  • superduper

    superduper-io/superduper

    Superduper: End-to-end framework for building custom AI applications and agents.

    Language:Python5.2k431.4k533