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: about 2 months ago
Linked from 3 awesome lists
aiawesomedata-sciencemachine-learningmachine-learning-engineeringmlmlemlops
Awesome MLOps / AutoML | |||
AutoGluon | 8,039 | 6 days ago | Automated machine learning for image, text, tabular, time-series, and multi-modal data |
AutoKeras | 9,154 | 16 days ago | AutoKeras goal is to make machine learning accessible for everyone |
AutoPyTorch | 2,376 | 8 months ago | Automatic architecture search and hyperparameter optimization for PyTorch |
AutoSKLearn | 7,632 | 6 days ago | Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator |
EvalML | 778 | 6 days ago | A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions |
FLAML | 3,919 | 8 days ago | Finds accurate ML models automatically, efficiently and economically |
H2O AutoML | Automates ML workflow, which includes automatic training and tuning of models | ||
MindsDB | 26,793 | 6 days ago | AI layer for databases that allows you to effortlessly develop, train and deploy ML models |
MLBox | 1,500 | over 1 year ago | MLBox is a powerful Automated Machine Learning python library |
Model Search | 3,268 | 4 months ago | Framework that implements AutoML algorithms for model architecture search at scale |
NNI | 14,054 | 5 months ago | An open source AutoML toolkit for automate machine learning lifecycle |
Awesome MLOps / CI/CD for Machine Learning | |||
ClearML | 5,684 | 10 days ago | Auto-Magical CI/CD to streamline your ML workflow |
CML | 4,038 | 20 days ago | Open-source library for implementing CI/CD in machine learning projects |
KitOps | 495 | 6 days 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 | 4,476 | 6 days ago | Open-source DMS (data management system) for powering data hubs and data portals |
DataHub | 9,916 | 4 days ago | LinkedIn's generalized metadata search & discovery tool |
Magda | 514 | 4 days ago | A federated, open-source data catalog for all your big data and small data |
Metacat | 1,610 | 13 days 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 | 5,809 | 7 months ago | A system for quickly generating training data with weak supervision |
Upgini | 319 | 6 days 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 | 939 | 9 months ago | An intuitive GUI for Pandas DataFrames |
DataPrep | 2,068 | 5 months 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 | 6,649 | 3 months ago | Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts |
Pandas Profiling | 12,536 | 8 days 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 | 1,933 | about 2 years ago | A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF |
Delta Lake | 7,593 | 6 days ago | Storage layer that brings scalable, ACID transactions to Apache Spark and other engines |
Dolt | 17,965 | 6 days ago | SQL database that you can fork, clone, branch, merge, push and pull just like a git repository |
Dud | 183 | 10 days 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 | 8,171 | 10 days ago | A dataset format for creating, storing, and collaborating on AI datasets of any size |
Intake | 1,013 | 8 days ago | A lightweight set of tools for loading and sharing data in data science projects |
lakeFS | 4,458 | 4 days ago | Repeatable, atomic and versioned data lake on top of object storage |
Marquez | 1,779 | 8 days ago | Collect, aggregate, and visualize a data ecosystem's metadata |
Milvus | 30,573 | 6 days 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 | 20,607 | 4 days ago | An open source vector similarity search engine with extended filtering support |
Quilt | 1,330 | 4 days ago | A self-organizing data hub with S3 support |
Awesome MLOps / Data Processing | |||
Airflow | Platform to programmatically author, schedule, and monitor workflows | ||
Azkaban | 4,467 | 5 months ago | Batch workflow job scheduler created at LinkedIn to run Hadoop jobs |
Dagster | 11,699 | 6 days 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 | 10,914 | 3 days 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 | 3,168 | 3 months ago | Lightweight, extensible data validation library for Python |
Cleanlab | 9,756 | 29 days 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 | 765 | 20 days 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 | 21,482 | 9 days 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 1 year ago | Visualizations for understanding and analyzing machine learning datasets |
Grafana | Multi-platform open source analytics and interactive visualization web application | ||
Lux | 5,210 | 8 months 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 | 579 | 10 months 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 | 2,247 | 24 days ago | An open source Python library focused on outlier, adversarial and drift detection |
Frouros | 193 | 6 days ago | An open source Python library for drift detection in machine learning systems |
TorchDrift | 312 | about 2 years ago | A data and concept drift library for PyTorch |
Awesome MLOps / Feature Engineering | |||
Feature Engine | 1,926 | 13 days ago | Feature engineering package with SKlearn like functionality |
Featuretools | 7,270 | 8 days ago | Python library for automated feature engineering |
TSFresh | 8,435 | 7 days ago | Python library for automatic extraction of relevant features from time series |
Awesome MLOps / Feature Store | |||
Butterfree | 283 | about 1 month ago | A tool for building feature stores. Transform your raw data into beautiful features |
ByteHub | 58 | over 3 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 | 1,986 | 8 months ago | An enterprise-grade, high performance feature store |
Featureform | 1,818 | 9 days 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 | 1,547 | about 5 years ago | Open-source implementation of Google Vizier for hyper parameters tuning |
Hyperas | 2,178 | almost 2 years ago | A very simple wrapper for convenient hyperparameter optimization |
Hyperopt | 7,258 | 24 days ago | Distributed Asynchronous Hyperparameter Optimization in Python |
Katib | 1,509 | 16 days ago | Kubernetes-based system for hyperparameter tuning and neural architecture search |
KerasTuner | 2,862 | 4 months ago | Easy-to-use, scalable hyperparameter optimization framework |
Optuna | Open source hyperparameter optimization framework to automate hyperparameter search | ||
Scikit Optimize | 2,744 | 9 months ago | Simple and efficient library to minimize expensive and noisy black-box functions |
Talos | 1,625 | 7 months 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 | 5,482 | 3 months 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 | 2,038 | about 2 months 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 | 3,434 | 4 months ago | All-in-one web-based IDE specialized for machine learning and data science |
MLReef | 1,442 | about 2 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 | 2,457 | 5 months ago | A comprehensive set of fairness metrics for datasets and machine learning models |
Fairlearn | 1,948 | 5 days ago | A Python package to assess and improve fairness of machine learning models |
Opacus | 1,716 | 17 days ago | A library that enables training PyTorch models with differential privacy |
TensorFlow Privacy | 1,943 | 17 days ago | Library for training machine learning models with privacy for training data |
Awesome MLOps / Model Interpretability | |||
Alibi | 2,414 | 4 months ago | Open-source Python library enabling ML model inspection and interpretation |
Captum | 4,931 | 6 days ago | Model interpretability and understanding library for PyTorch |
ELI5 | 262 | 5 months ago | Python package which helps to debug machine learning classifiers and explain their predictions |
InterpretML | 6,296 | 3 days ago | A toolkit to help understand models and enable responsible machine learning |
LIME | 11,615 | 4 months ago | Explaining the predictions of any machine learning classifier |
Lucid | 4,673 | almost 2 years ago | Collection of infrastructure and tools for research in neural network interpretability |
SAGE | 253 | 10 days ago | For calculating global feature importance using Shapley values |
SHAP | 22,876 | 12 days ago | A game theoretic approach to explain the output of any machine learning model |
Awesome MLOps / Model Lifecycle | |||
Aeromancy | 10 | about 2 months ago | A framework for performing reproducible AI and ML for Weights and Biases |
Aim | 5,220 | 6 days ago | A super-easy way to record, search and compare 1000s of ML training runs |
Cascade | 22 | 4 days ago | Library of ML-Engineering tools for rapid prototyping and experiment management |
Comet | 151 | 9 days ago | Track your datasets, code changes, experimentation history, and models |
Guild AI | Open source experiment tracking, pipeline automation, and hyperparameter tuning | ||
Keepsake | 1,650 | 3 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 | 1,702 | 4 months ago | Open source ML model versioning, metadata, and experiment management |
Neptune AI | The most lightweight experiment management tool that fits any workflow | ||
Sacred | 4,254 | about 1 month ago | A tool to help you configure, organize, log and reproduce experiments |
Weights and Biases | 9,152 | 3 days 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 | 7,153 | 6 days ago | Open-source platform for high-performance ML model serving |
BudgetML | 1,338 | 9 months ago | Deploy a ML inference service on a budget in less than 10 lines of code |
Cog | 8,081 | 6 days 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 | 33,962 | 6 days ago | Create customizable UI components around your models |
GraphPipe | Machine learning model deployment made simple | ||
Hydrosphere | 271 | 24 days ago | Platform for deploying your Machine Learning to production |
KFServing | 3,637 | 5 days ago | Kubernetes custom resource definition for serving ML models on arbitrary frameworks |
LocalAI | 25,827 | 4 days ago | Drop-in replacement REST API that’s compatible with OpenAI API specifications for inferencing |
Merlin | 167 | 5 days ago | A platform for deploying and serving machine learning models |
MLEM | 716 | about 1 year ago | Version and deploy your ML models following GitOps principles |
Opyrator | 3,102 | 29 days ago | Turns your ML code into microservices with web API, interactive GUI, and more |
PredictionIO | 12,545 | almost 4 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 2 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 | 35,705 | 6 days 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 | 4,217 | 29 days ago | A flexible and easy to use tool for serving PyTorch models |
Triton Inference Server | 8,342 | 3 days ago | Provides an optimized cloud and edge inferencing solution |
Vespa | 5,812 | 4 days 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 | 3,623 | 8 days ago | Open-source package for validating ML models & data, with various checks and suites |
Starwhale | 208 | 4 months ago | An MLOps/LLMOps platform for model building, evaluation, and fine-tuning |
Trubrics | 133 | 6 months ago | Validate machine learning with data science and domain expert feedback |
Awesome MLOps / Optimization Tools | |||
Accelerate | 7,947 | 6 days 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 | 35,463 | 7 days ago | Deep learning optimization library that makes distributed training easy, efficient, and effective |
Fiber | Python distributed computing library for modern computer clusters | ||
Horovod | 14,265 | 3 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 | 9,892 | 2 months ago | Speed up your Pandas workflows by changing a single line of code |
Nebullvm | 8,375 | 4 months ago | Easy-to-use library to boost AI inference |
Nos | 630 | 7 months ago | Open-source module for running AI workloads on Kubernetes in an optimized way |
Petastorm | 1,799 | 12 months 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 | 33,994 | 6 days 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 | 9,736 | 4 months 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 1 year ago | Help Data Scientists on setting up more organized codes, in a quicker and simpler way |
Hydra | 8,812 | 5 days ago | A framework for elegantly configuring complex applications |
Koalas | 3,336 | 8 months ago | Pandas API on Apache Spark. Makes data scientists more productive when interacting with big data |
Ludwig | 11,189 | 24 days ago | Allows users to train and test deep learning models without the need to write code |
MLNotify | 343 | over 2 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 | 435 | 9 months ago | A CLI utility to train and deploy ML/DL models on AWS SageMaker |
Soopervisor | 45 | 2 months ago | Export ML projects to Kubernetes (Argo workflows), Airflow, AWS Batch, and SLURM |
Soorgeon | 78 | 2 months ago | Convert monolithic Jupyter notebooks into maintainable pipelines |
TrainGenerator | 1,368 | about 1 year ago | A web app to generate template code for machine learning |
Turi Create | 11,202 | about 1 year 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 | 5,391 | 7 days 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 1 year ago | A model-agnostic visual debugging tool for machine learning |
NannyML | 1,971 | 17 days ago | Algorithm capable of fully capturing the impact of data drift on performance |
Netron | 28,134 | 6 days ago | Visualizer for neural network, deep learning, and machine learning models |
Opik | 2,121 | 6 days 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 | 71 | 6 days 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 | 2,653 | 3 days ago | The open source standard for data logging. Enables ML monitoring and observability |
Yellowbrick | 4,293 | about 2 months ago | Visual analysis and diagnostic tools to facilitate machine learning model selection |
Awesome MLOps / Workflow Tools | |||
Argo | 15,082 | 7 days ago | Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes |
Automate Studio | Rapidly build & deploy AI-powered workflows | ||
Couler | 915 | about 1 month ago | Unified interface for constructing and managing workflows on different workflow engines |
dstack | 1,533 | 4 days ago | An open-core tool to automate data and training workflows |
Flyte | Easy to create concurrent, scalable, and maintainable workflows for machine learning | ||
Hamilton | 1,861 | 7 days ago | A scalable general purpose micro-framework for defining dataflows |
Kale | 632 | almost 2 years ago | Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows |
Kedro | 10,004 | 6 days ago | Library that implements software engineering best-practice for data and ML pipelines |
Luigi | 17,869 | 9 days 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 | 1,446 | 4 days ago | Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines |
Orchest | 4,079 | over 1 year ago | Visual pipeline editor and workflow orchestrator with an easy to use UI and based on Kubernetes |
Ploomber | 3,510 | 2 months ago | Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud |
Prefect | A workflow management system, designed for modern infrastructure | ||
VDP | 2,147 | 7 days 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 | 4,071 | 6 days 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) | ||
Delivering on the Vision of MLOps: A maturity-based approach | (GigaOm) | ||
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 | 27,322 | 4 months ago | |
Awesome AutoML Papers | 4,023 | 5 months ago | |
Awesome AutoML | 865 | about 2 months ago | |
Awesome Data Science | 25,157 | 14 days ago | |
Awesome DataOps | 158 | about 1 month ago | |
Awesome Deep Learning | 24,271 | 7 months ago | |
Awesome Game Datasets | 748 | 11 days ago | (includes AI content) |
Awesome Machine Learning | 66,046 | 10 days ago | |
Awesome MLOps | 12,623 | 5 months ago | |
Awesome Production Machine Learning | 17,606 | 4 days ago | |
Awesome Python | 225,227 | 3 months ago | |
Deep Learning in Production | 4,306 | 12 days ago | |
Resources / Podcasts | |||
How AI Built This | |||
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 | 37,603 | 3 months ago | |
ML-Ops | |||
MLOps Community | |||
MLOps Guide | |||
MLOps Now |
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