awesome-mlops
MLOps toolbox
A curated collection of tools and resources supporting the development and deployment of machine learning models and workflows
A curated list of awesome MLOps tools
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Language: Python
last commit: 11 months ago
Linked from 3 awesome lists
aiawesomedata-sciencemachine-learningmachine-learning-engineeringmlmlemlops
Awesome MLOps / AutoML | |||
| AutoGluon | 8,167 | 11 months ago | Automated machine learning for image, text, tabular, time-series, and multi-modal data |
| AutoKeras | 9,172 | 11 months ago | AutoKeras goal is to make machine learning accessible for everyone |
| AutoPyTorch | 2,385 | over 1 year ago | Automatic architecture search and hyperparameter optimization for PyTorch |
| AutoSKLearn | 7,667 | 11 months ago | Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator |
| EvalML | 788 | 11 months ago | A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions |
| FLAML | 3,968 | 11 months ago | Finds accurate ML models automatically, efficiently and economically |
| H2O AutoML | Automates ML workflow, which includes automatic training and tuning of models | ||
| MindsDB | 26,915 | 11 months ago | AI layer for databases that allows you to effortlessly develop, train and deploy ML models |
| MLBox | 1,500 | over 2 years ago | MLBox is a powerful Automated Machine Learning python library |
| Model Search | 3,268 | over 1 year ago | Framework that implements AutoML algorithms for model architecture search at scale |
| NNI | 14,076 | over 1 year ago | An open source AutoML toolkit for automate machine learning lifecycle |
Awesome MLOps / CI/CD for Machine Learning | |||
| ClearML | 5,740 | 11 months ago | Auto-Magical CI/CD to streamline your ML workflow |
| CML | 4,046 | 11 months ago | Open-source library for implementing CI/CD in machine learning projects |
| KitOps | 577 | 11 months ago | – Open source MLOps project that eases model handoffs between data scientist and DevOps |
Awesome MLOps / Cron Job Monitoring | |||
| Cronitor | Monitor any cron job or scheduled task | ||
| HealthchecksIO | Simple and effective cron job monitoring | ||
Awesome MLOps / Data Catalog | |||
| Amundsen | Data discovery and metadata engine for improving the productivity when interacting with data | ||
| Apache Atlas | Provides open metadata management and governance capabilities to build a data catalog | ||
| CKAN | 4,509 | 11 months ago | Open-source DMS (data management system) for powering data hubs and data portals |
| DataHub | 10,046 | 11 months ago | LinkedIn's generalized metadata search & discovery tool |
| Magda | 518 | 11 months ago | A federated, open-source data catalog for all your big data and small data |
| Metacat | 1,616 | 11 months ago | Unified metadata exploration API service for Hive, RDS, Teradata, Redshift, S3 and Cassandra |
| OpenMetadata | A Single place to discover, collaborate and get your data right | ||
Awesome MLOps / Data Enrichment | |||
| Snorkel | 5,826 | over 1 year ago | A system for quickly generating training data with weak supervision |
| Upgini | 321 | 11 months ago | Enriches training datasets with features from public and community shared data sources |
Awesome MLOps / Data Exploration | |||
| Apache Zeppelin | Enables data-driven, interactive data analytics and collaborative documents | ||
| BambooLib | 940 | over 1 year ago | An intuitive GUI for Pandas DataFrames |
| DataPrep | 2,088 | over 1 year ago | Collect, clean and visualize your data in Python |
| Google Colab | Hosted Jupyter notebook service that requires no setup to use | ||
| Jupyter Notebook | Web-based notebook environment for interactive computing | ||
| JupyterLab | The next-generation user interface for Project Jupyter | ||
| Jupytext | 6,673 | 11 months ago | Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts |
| Pandas Profiling | 12,602 | 11 months ago | Create HTML profiling reports from pandas DataFrame objects |
| Polynote | The polyglot notebook with first-class Scala support | ||
Awesome MLOps / Data Management | |||
| Arrikto | Dead simple, ultra fast storage for the hybrid Kubernetes world | ||
| BlazingSQL | 1,938 | about 3 years ago | A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF |
| Delta Lake | 7,677 | 11 months ago | Storage layer that brings scalable, ACID transactions to Apache Spark and other engines |
| Dolt | 18,052 | 11 months ago | SQL database that you can fork, clone, branch, merge, push and pull just like a git repository |
| Dud | 184 | 12 months ago | A lightweight CLI tool for versioning data alongside source code and building data pipelines |
| DVC | Management and versioning of datasets and machine learning models | ||
| Git LFS | An open source Git extension for versioning large files | ||
| Hub | 8,237 | 11 months ago | A dataset format for creating, storing, and collaborating on AI datasets of any size |
| Intake | 1,015 | 12 months ago | A lightweight set of tools for loading and sharing data in data science projects |
| lakeFS | 4,496 | 11 months ago | Repeatable, atomic and versioned data lake on top of object storage |
| Marquez | 1,800 | 11 months ago | Collect, aggregate, and visualize a data ecosystem's metadata |
| Milvus | 31,283 | 11 months ago | An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy |
| Pinecone | Managed and distributed vector similarity search used with a lightweight SDK | ||
| Qdrant | 21,001 | 11 months ago | An open source vector similarity search engine with extended filtering support |
| Quilt | 1,328 | 11 months ago | A self-organizing data hub with S3 support |
Awesome MLOps / Data Processing | |||
| Airflow | Platform to programmatically author, schedule, and monitor workflows | ||
| Azkaban | 4,481 | over 1 year ago | Batch workflow job scheduler created at LinkedIn to run Hadoop jobs |
| Dagster | 12,055 | 11 months ago | A data orchestrator for machine learning, analytics, and ETL |
| Hadoop | Framework that allows for the distributed processing of large data sets across clusters | ||
| OpenRefine | 10,968 | 11 months ago | Power tool for working with messy data and improving it |
| Spark | Unified analytics engine for large-scale data processing | ||
Awesome MLOps / Data Validation | |||
| Cerberus | 3,179 | about 1 year ago | Lightweight, extensible data validation library for Python |
| Cleanlab | 9,820 | 11 months ago | Python library for data-centric AI and machine learning with messy, real-world data and labels |
| Great Expectations | A Python data validation framework that allows to test your data against datasets | ||
| JSON Schema | A vocabulary that allows you to annotate and validate JSON documents | ||
| TFDV | 766 | 12 months ago | An library for exploring and validating machine learning data |
Awesome MLOps / Data Visualization | |||
| Count | SQL/drag-and-drop querying and visualisation tool based on notebooks | ||
| Dash | 21,641 | 11 months ago | Analytical Web Apps for Python, R, Julia, and Jupyter |
| Data Studio | Reporting solution for power users who want to go beyond the data and dashboards of GA | ||
| Facets | 7,357 | over 2 years ago | Visualizations for understanding and analyzing machine learning datasets |
| Grafana | Multi-platform open source analytics and interactive visualization web application | ||
| Lux | 5,226 | over 1 year ago | Fast and easy data exploration by automating the visualization and data analysis process |
| Metabase | The simplest, fastest way to get business intelligence and analytics to everyone | ||
| Redash | Connect to any data source, easily visualize, dashboard and share your data | ||
| SolidUI | 589 | almost 2 years ago | AI-generated visualization prototyping and editing platform, support 2D and 3D models |
| Superset | Modern, enterprise-ready business intelligence web application | ||
| Tableau | Powerful and fastest growing data visualization tool used in the business intelligence industry | ||
Awesome MLOps / Drift Detection | |||
| Alibi Detect | 2,262 | 11 months ago | An open source Python library focused on outlier, adversarial and drift detection |
| Frouros | 197 | 11 months ago | An open source Python library for drift detection in machine learning systems |
| TorchDrift | 311 | about 3 years ago | A data and concept drift library for PyTorch |
Awesome MLOps / Feature Engineering | |||
| Feature Engine | 1,956 | 12 months ago | Feature engineering package with SKlearn like functionality |
| Featuretools | 7,304 | 11 months ago | Python library for automated feature engineering |
| TSFresh | 8,486 | 12 months ago | Python library for automatic extraction of relevant features from time series |
Awesome MLOps / Feature Store | |||
| Butterfree | 288 | 11 months ago | A tool for building feature stores. Transform your raw data into beautiful features |
| ByteHub | 58 | over 4 years ago | An easy-to-use feature store. Optimized for time-series data |
| Feast | End-to-end open source feature store for machine learning | ||
| Feathr | 1,985 | over 1 year ago | An enterprise-grade, high performance feature store |
| Featureform | 1,822 | 11 months ago | A Virtual Feature Store. Turn your existing data infrastructure into a feature store |
| Tecton | A fully-managed feature platform built to orchestrate the complete lifecycle of features | ||
Awesome MLOps / Hyperparameter Tuning | |||
| Advisor | 1,550 | almost 6 years ago | Open-source implementation of Google Vizier for hyper parameters tuning |
| Hyperas | 2,179 | almost 3 years ago | A very simple wrapper for convenient hyperparameter optimization |
| Hyperopt | 7,295 | about 1 year ago | Distributed Asynchronous Hyperparameter Optimization in Python |
| Katib | 1,521 | 11 months ago | Kubernetes-based system for hyperparameter tuning and neural architecture search |
| KerasTuner | 2,860 | 11 months ago | Easy-to-use, scalable hyperparameter optimization framework |
| Optuna | Open source hyperparameter optimization framework to automate hyperparameter search | ||
| Scikit Optimize | 2,748 | over 1 year ago | Simple and efficient library to minimize expensive and noisy black-box functions |
| Talos | 1,626 | over 1 year ago | Hyperparameter Optimization for TensorFlow, Keras and PyTorch |
| Tune | Python library for experiment execution and hyperparameter tuning at any scale | ||
Awesome MLOps / Knowledge Sharing | |||
| Knowledge Repo | 5,489 | about 1 year ago | Knowledge sharing platform for data scientists and other technical professions |
| Kyso | One place for data insights so your entire team can learn from your data | ||
Awesome MLOps / Machine Learning Platform | |||
| aiWARE | aiWARE helps MLOps teams evaluate, deploy, integrate, scale & monitor ML models | ||
| Algorithmia | Securely govern your machine learning operations with a healthy ML lifecycle | ||
| Allegro AI | Transform ML/DL research into products. Faster | ||
| Bodywork | Deploys machine learning projects developed in Python, to Kubernetes | ||
| CNVRG | An end-to-end machine learning platform to build and deploy AI models at scale | ||
| DAGsHub | A platform built on open source tools for data, model and pipeline management | ||
| Dataiku | Platform democratizing access to data and enabling enterprises to build their own path to AI | ||
| DataRobot | AI platform that democratizes data science and automates the end-to-end ML at scale | ||
| Domino | One place for your data science tools, apps, results, models, and knowledge | ||
| Edge Impulse | Platform for creating, optimizing, and deploying AI/ML algorithms for edge devices | ||
| envd | 2,061 | about 1 year ago | Machine learning development environment for data science and AI/ML engineering teams |
| FedML | Simplifies the workflow of federated learning anywhere at any scale | ||
| Gradient | Multicloud CI/CD and MLOps platform for machine learning teams | ||
| H2O | Open source leader in AI with a mission to democratize AI for everyone | ||
| Hopsworks | Open-source platform for developing and operating machine learning models at scale | ||
| Iguazio | Data science platform that automates MLOps with end-to-end machine learning pipelines | ||
| Katonic | Automate your cycle of intelligence with Katonic MLOps Platform | ||
| Knime | Create and productionize data science using one easy and intuitive environment | ||
| Kubeflow | Making deployments of ML workflows on Kubernetes simple, portable and scalable | ||
| LynxKite | A complete graph data science platform for very large graphs and other datasets | ||
| ML Workspace | 3,446 | over 1 year ago | All-in-one web-based IDE specialized for machine learning and data science |
| MLReef | 1,440 | about 3 years ago | Open source MLOps platform that helps you collaborate, reproduce and share your ML work |
| Modzy | Deploy, connect, run, and monitor machine learning (ML) models in the enterprise and at the edge | ||
| Neu.ro | MLOps platform that integrates open-source and proprietary tools into client-oriented systems | ||
| Omnimizer | Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware | ||
| Pachyderm | Combines data lineage with end-to-end pipelines on Kubernetes, engineered for the enterprise | ||
| Polyaxon | A platform for reproducible and scalable machine learning and deep learning on kubernetes | ||
| Sagemaker | Fully managed service that provides the ability to build, train, and deploy ML models quickly | ||
| SAS Viya | Cloud native AI, analytic and data management platform that supports the analytics life cycle | ||
| Sematic | An open-source end-to-end pipelining tool to go from laptop prototype to cloud in no time | ||
| SigOpt | A platform that makes it easy to track runs, visualize training, and scale hyperparameter tuning | ||
| TrueFoundry | A Cloud-native MLOps Platform over Kubernetes to simplify training and serving of ML Models | ||
| Valohai | Takes you from POC to production while managing the whole model lifecycle | ||
Awesome MLOps / Model Fairness and Privacy | |||
| AIF360 | 2,483 | 11 months ago | A comprehensive set of fairness metrics for datasets and machine learning models |
| Fairlearn | 1,974 | 11 months ago | A Python package to assess and improve fairness of machine learning models |
| Opacus | 1,730 | 11 months ago | A library that enables training PyTorch models with differential privacy |
| TensorFlow Privacy | 1,947 | 12 months ago | Library for training machine learning models with privacy for training data |
Awesome MLOps / Model Interpretability | |||
| Alibi | 2,421 | 11 months ago | Open-source Python library enabling ML model inspection and interpretation |
| Captum | 4,982 | 11 months ago | Model interpretability and understanding library for PyTorch |
| ELI5 | 265 | 11 months ago | Python package which helps to debug machine learning classifiers and explain their predictions |
| InterpretML | 6,324 | 11 months ago | A toolkit to help understand models and enable responsible machine learning |
| LIME | 11,663 | over 1 year ago | Explaining the predictions of any machine learning classifier |
| Lucid | 4,678 | almost 3 years ago | Collection of infrastructure and tools for research in neural network interpretability |
| SAGE | 256 | 11 months ago | For calculating global feature importance using Shapley values |
| SHAP | 23,077 | 11 months ago | A game theoretic approach to explain the output of any machine learning model |
Awesome MLOps / Model Lifecycle | |||
| Aeromancy | 11 | about 1 year ago | A framework for performing reproducible AI and ML for Weights and Biases |
| Aim | 5,261 | 11 months ago | A super-easy way to record, search and compare 1000s of ML training runs |
| Cascade | 22 | 11 months ago | Library of ML-Engineering tools for rapid prototyping and experiment management |
| Comet | 152 | 11 months ago | Track your datasets, code changes, experimentation history, and models |
| Guild AI | Open source experiment tracking, pipeline automation, and hyperparameter tuning | ||
| Keepsake | 1,649 | 11 months ago | Version control for machine learning with support to Amazon S3 and Google Cloud Storage |
| Losswise | Makes it easy to track the progress of a machine learning project | ||
| MLflow | Open source platform for the machine learning lifecycle | ||
| ModelDB | 1,707 | over 1 year ago | Open source ML model versioning, metadata, and experiment management |
| Neptune AI | The most lightweight experiment management tool that fits any workflow | ||
| Sacred | 4,266 | 12 months ago | A tool to help you configure, organize, log and reproduce experiments |
| Weights and Biases | 9,270 | 11 months ago | A tool for visualizing and tracking your machine learning experiments |
Awesome MLOps / Model Serving | |||
| Banana | Host your ML inference code on serverless GPUs and integrate it into your app with one line of code | ||
| Beam | Develop on serverless GPUs, deploy highly performant APIs, and rapidly prototype ML models | ||
| BentoML | 7,222 | 11 months ago | Open-source platform for high-performance ML model serving |
| BudgetML | 1,341 | over 1 year ago | Deploy a ML inference service on a budget in less than 10 lines of code |
| Cog | 8,169 | 11 months ago | Open-source tool that lets you package ML models in a standard, production-ready container |
| Cortex | Machine learning model serving infrastructure | ||
| Geniusrise | Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models | ||
| Gradio | 34,557 | 11 months ago | Create customizable UI components around your models |
| GraphPipe | Machine learning model deployment made simple | ||
| Hydrosphere | 271 | about 1 year ago | Platform for deploying your Machine Learning to production |
| KFServing | 3,716 | 11 months ago | Kubernetes custom resource definition for serving ML models on arbitrary frameworks |
| LocalAI | 27,060 | 11 months ago | Drop-in replacement REST API that’s compatible with OpenAI API specifications for inferencing |
| Merlin | 168 | 11 months ago | A platform for deploying and serving machine learning models |
| MLEM | 718 | about 2 years ago | Version and deploy your ML models following GitOps principles |
| Opyrator | 3,116 | 12 months ago | Turns your ML code into microservices with web API, interactive GUI, and more |
| PredictionIO | 12,541 | almost 5 years ago | Event collection, deployment of algorithms, evaluation, querying predictive results via APIs |
| Quix | Serverless platform for processing data streams in real-time with machine learning models | ||
| Rune | 136 | over 3 years ago | Provides containers to encapsulate and deploy EdgeML pipelines and applications |
| Seldon | Take your ML projects from POC to production with maximum efficiency and minimal risk | ||
| Streamlit | 36,168 | 11 months ago | Lets you create apps for your ML projects with deceptively simple Python scripts |
| TensorFlow Serving | Flexible, high-performance serving system for ML models, designed for production | ||
| TorchServe | 4,238 | 11 months ago | A flexible and easy to use tool for serving PyTorch models |
| Triton Inference Server | 8,460 | 11 months ago | Provides an optimized cloud and edge inferencing solution |
| Vespa | 5,881 | 11 months ago | Store, search, organize and make machine-learned inferences over big data at serving time |
| Wallaroo.AI | A platform for deploying, serving, and optimizing ML models in both cloud and edge environments | ||
Awesome MLOps / Model Testing & Validation | |||
| Deepchecks | 3,650 | 11 months ago | Open-source package for validating ML models & data, with various checks and suites |
| Starwhale | 214 | 11 months ago | An MLOps/LLMOps platform for model building, evaluation, and fine-tuning |
| Trubrics | 136 | over 1 year ago | Validate machine learning with data science and domain expert feedback |
Awesome MLOps / Optimization Tools | |||
| Accelerate | 8,056 | 11 months ago | A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision |
| Dask | Provides advanced parallelism for analytics, enabling performance at scale for the tools you love | ||
| DeepSpeed | 35,863 | 11 months ago | Deep learning optimization library that makes distributed training easy, efficient, and effective |
| Fiber | Python distributed computing library for modern computer clusters | ||
| Horovod | 14,305 | 11 months ago | Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet |
| Mahout | Distributed linear algebra framework and mathematically expressive Scala DSL | ||
| MLlib | Apache Spark's scalable machine learning library | ||
| Modin | 9,942 | 11 months ago | Speed up your Pandas workflows by changing a single line of code |
| Nebullvm | 8,375 | over 1 year ago | Easy-to-use library to boost AI inference |
| Nos | 636 | over 1 year ago | Open-source module for running AI workloads on Kubernetes in an optimized way |
| Petastorm | 1,805 | almost 2 years ago | Enables single machine or distributed training and evaluation of deep learning models |
| Rapids | Gives the ability to execute end-to-end data science and analytics pipelines entirely on GPUs | ||
| Ray | 34,412 | 11 months ago | Fast and simple framework for building and running distributed applications |
| Singa | Apache top level project, focusing on distributed training of DL and ML models | ||
| Tpot | 9,776 | over 1 year ago | Automated ML tool that optimizes machine learning pipelines using genetic programming |
Awesome MLOps / Simplification Tools | |||
| Chassis | Turns models into ML-friendly containers that run just about anywhere | ||
| Hermione | 207 | over 2 years ago | Help Data Scientists on setting up more organized codes, in a quicker and simpler way |
| Hydra | 8,876 | 12 months ago | A framework for elegantly configuring complex applications |
| Koalas | 3,343 | over 1 year ago | Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data |
| Ludwig | 11,236 | 11 months ago | Allows users to train and test deep learning models without the need to write code |
| MLNotify | 343 | over 3 years ago | No need to keep checking your training, just one import line and you'll know the second it's done |
| PyCaret | Open source, low-code machine learning library in Python | ||
| Sagify | 436 | over 1 year ago | A CLI utility to train and deploy ML/DL models on AWS SageMaker |
| Soopervisor | 45 | about 1 year ago | Export ML projects to Kubernetes (Argo workflows), Airflow, AWS Batch, and SLURM |
| Soorgeon | 78 | about 1 year ago | Convert monolithic Jupyter notebooks into maintainable pipelines |
| TrainGenerator | 1,370 | about 2 years ago | A web app to generate template code for machine learning |
| Turi Create | 11,202 | about 2 years ago | Simplifies the development of custom machine learning models |
Awesome MLOps / Visual Analysis and Debugging | |||
| Aporia | Observability with customized monitoring and explainability for ML models | ||
| Arize | A free end-to-end ML observability and model monitoring platform | ||
| Evidently | 5,519 | 11 months ago | Interactive reports to analyze ML models during validation or production monitoring |
| Fiddler | Monitor, explain, and analyze your AI in production | ||
| Manifold | 1,651 | over 2 years ago | A model-agnostic visual debugging tool for machine learning |
| NannyML | 1,998 | about 1 year ago | Algorithm capable of fully capturing the impact of data drift on performance |
| Netron | 28,684 | 11 months ago | Visualizer for neural network, deep learning, and machine learning models |
| Opik | 2,588 | 11 months ago | Evaluate, test, and ship LLM applications with a suite of observability tools |
| Phoenix | MLOps in a Notebook for troubleshooting and fine-tuning generative LLM, CV, and tabular models | ||
| Radicalbit | 73 | 11 months ago | The open source solution for monitoring your AI models in production |
| Superwise | Fully automated, enterprise-grade model observability in a self-service SaaS platform | ||
| Whylogs | 2,664 | 11 months ago | The open source standard for data logging. Enables ML monitoring and observability |
| Yellowbrick | 4,304 | about 1 year ago | Visual analysis and diagnostic tools to facilitate machine learning model selection |
Awesome MLOps / Workflow Tools | |||
| Argo | 15,155 | 11 months ago | Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes |
| Automate Studio | Rapidly build & deploy AI-powered workflows | ||
| Couler | 919 | about 1 year ago | Unified interface for constructing and managing workflows on different workflow engines |
| dstack | 1,633 | 11 months ago | An open-core tool to automate data and training workflows |
| Flyte | Easy to create concurrent, scalable, and maintainable workflows for machine learning | ||
| Hamilton | 1,900 | 11 months ago | A scalable general purpose micro-framework for defining dataflows |
| Kale | 632 | almost 3 years ago | Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows |
| Kedro | 10,050 | 11 months ago | Library that implements software engineering best-practice for data and ML pipelines |
| Luigi | 17,950 | 11 months ago | Python module that helps you build complex pipelines of batch jobs |
| Metaflow | Human-friendly lib that helps scientists and engineers build and manage data science projects | ||
| MLRun | 1,458 | 11 months ago | Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines |
| Orchest | 4,091 | over 2 years ago | Visual pipeline editor and workflow orchestrator with an easy to use UI and based on Kubernetes |
| Ploomber | 3,530 | about 1 year ago | Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud |
| Prefect | A workflow management system, designed for modern infrastructure | ||
| VDP | 2,181 | 11 months ago | An open-source tool to seamlessly integrate AI for unstructured data into the modern data stack |
| Wordware | A web-hosted IDE where non-technical domain experts can build task-specific AI agents | ||
| ZenML | 4,261 | 11 months ago | An extensible open-source MLOps framework to create reproducible pipelines |
Resources / Articles | |||
| A Tour of End-to-End Machine Learning Platforms | (Databaseline) | ||
| Continuous Delivery for Machine Learning | (Martin Fowler) | ||
| Machine Learning Operations (MLOps): Overview, Definition, and Architecture | (arXiv) | ||
| MLOps Roadmap: A Complete MLOps Career Guide | (Scaler Blogs) | ||
| MLOps: Continuous delivery and automation pipelines in machine learning | (Google) | ||
| MLOps: Machine Learning as an Engineering Discipline | (Medium) | ||
| Rules of Machine Learning: Best Practices for ML Engineering | (Google) | ||
| The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction | (Google) | ||
| What Is MLOps? | (NVIDIA) | ||
Resources / Books | |||
| Beginning MLOps with MLFlow | (Apress) | ||
| Building Machine Learning Pipelines | (O'Reilly) | ||
| Building Machine Learning Powered Applications | (O'Reilly) | ||
| Deep Learning in Production | (AI Summer) | ||
| Designing Machine Learning Systems | (O'Reilly) | ||
| Engineering MLOps | (Packt) | ||
| Implementing MLOps in the Enterprise | (O'Reilly) | ||
| Introducing MLOps | (O'Reilly) | ||
| Kubeflow for Machine Learning | (O'Reilly) | ||
| Kubeflow Operations Guide | (O'Reilly) | ||
| Machine Learning Design Patterns | (O'Reilly) | ||
| Machine Learning Engineering in Action | (Manning) | ||
| ML Ops: Operationalizing Data Science | (O'Reilly) | ||
| MLOps Engineering at Scale | (Manning) | ||
| MLOps Lifecycle Toolkit | (Apress) | ||
| Practical Deep Learning at Scale with MLflow | (Packt) | ||
| Practical MLOps | (O'Reilly) | ||
| Production-Ready Applied Deep Learning | (Packt) | ||
| Reliable Machine Learning | (O'Reilly) | ||
| The Machine Learning Solutions Architect Handbook | (Packt) | ||
Resources / Events | |||
| apply() - The ML data engineering conference | |||
| MLOps Conference - Keynotes and Panels | |||
| MLOps World: Machine Learning in Production Conference | |||
| NormConf - The Normcore Tech Conference | |||
| Stanford MLSys Seminar Series | |||
Resources / Other Lists | |||
| Applied ML | 27,407 | over 1 year ago | |
| Awesome AutoML Papers | 4,035 | over 1 year ago | |
| Awesome AutoML | 870 | about 1 year ago | |
| Awesome Data Science | 25,352 | 12 months ago | |
| Awesome DataOps | 163 | about 1 year ago | |
| Awesome Deep Learning | 24,435 | over 1 year ago | |
| Awesome Game Datasets | 763 | 12 months ago | (includes AI content) |
| Awesome Machine Learning | 66,380 | 11 months ago | |
| Awesome MLOps | 12,684 | 12 months ago | |
| Awesome Production Machine Learning | 17,721 | 11 months ago | |
| Awesome Python | 227,763 | about 1 year ago | |
| Deep Learning in Production | 4,313 | 12 months ago | |
Resources / Podcasts | |||
| Kubernetes Podcast from Google | |||
| Machine Learning – Software Engineering Daily | |||
| MLOps.community | |||
| Pipeline Conversation | |||
| Practical AI: Machine Learning, Data Science | |||
| This Week in Machine Learning & AI | |||
| True ML Talks | |||
Resources / Slack | |||
| Kubeflow Workspace | |||
| MLOps Community Wokspace | |||
Resources / Websites | |||
| Feature Stores for ML | |||
| Made with ML | 37,816 | about 1 year ago | |
| ML-Ops | |||
| MLOps Community | |||
| MLOps Guide | |||
| MLOps Now | |||
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