MLOps-Basics
MLOps tutorials
A structured learning series covering MLOps basics from data preparation to deployment and model monitoring.
6k stars
93 watching
1k forks
Language: Jupyter Notebook
last commit: 4 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 datatalksclub/mlops-zoomcamp | Teaches practical aspects of productionizing ML services | 11,227 |
 dotnet/machinelearning-samples | A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications. | 4,508 |
 gokumohandas/made-with-ml | Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications | 37,816 |
 online-ml/river | A Python library for online machine learning that provides an incremental learning framework for various algorithms and models | 5,121 |
 mljar/mljar-supervised | Automated Machine Learning library for Python that streamlines data preparation, model selection, and hyperparameter tuning for tabular data. | 3,081 |
 mlpack/mlpack | A C++ machine learning library with bindings to other languages and bindings for multiple programming languages. | 5,151 |
| dotnet/machinelearning | A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. | 9,071 |
 oxid15/cascade | A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle | 22 |
 omegaml/omegaml | An MLOps platform providing tools and services to deploy, collaborate and manage machine learning models and data pipelines in a simplified way | 96 |
 mlflow/mlflow | A platform for managing machine learning projects from inception to deployment | 19,021 |
 eriklindernoren/ml-from-scratch | Provides implementations of fundamental machine learning models and algorithms from scratch in Python | 24,092 |
 ml-tooling/opyrator | Automates conversion of machine learning code into production-ready microservices with web API and GUI. | 3,116 |
 trekhleb/homemade-machine-learning | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |
 ml-explore/mlx | A high-performance machine learning framework designed by researchers for machine learning research, providing an efficient and user-friendly platform for training and deploying models. | 17,878 |
 wandb/wandb | An AI developer platform to track and manage machine learning models from experimentation to production. | 9,270 |