Alternatives and similar repositories for awesome-machine-learning-engineer:

Users that are interested in awesome-machine-learning-engineer are comparing it to the libraries listed below

• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆398Updated 2 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆118Updated 2 years ago
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆183Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆462Updated last year
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆254Updated 5 months ago
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆220Updated 8 months ago
• eugeneyan / ml-design-docs
  📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
  ☆586Updated 2 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆180Updated 8 months ago
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆459Updated 8 months ago
• jacopotagliabue / you-dont-need-a-bigger-boat
  An end-to-end implementation of intent prediction with Metaflow and other cool tools
  ☆858Updated last year
• kennethleungty / Failed-ML
  Compilation of high-profile real-world examples of failed machine learning projects
  ☆729Updated 9 months ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆199Updated 9 months ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆605Updated 2 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆145Updated 11 months ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆335Updated 3 years ago
• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆454Updated last year
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated 11 months ago
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆190Updated 4 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆262Updated 2 years ago
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆463Updated 4 years ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆213Updated 2 years ago
• SE-ML / awesome-seml
  A curated list of articles that cover the software engineering best practices for building machine learning applications.
  ☆1,269Updated 11 months ago
• EthicalML / awesome-artificial-intelligence-regulation
  This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…
  ☆1,305Updated 2 months ago
• datarevenue-berlin / OpenMLOps
  ☆704Updated 2 years ago
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆186Updated last year
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆159Updated last year
• kabartay / OpenUnivCourses
  FREE ML Courses from Top Universities in CS
  ☆249Updated 10 months ago
• mlops-guide / dvc-gitactions
  Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…
  ☆48Updated 3 years ago
• awesome-mlops / awesome-ml-monitoring
  A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…
  ☆74Updated 10 months ago
• primaprashant / ml-engineering-blogs
  📚 Curated list of machine learning engineering blogs.
  ☆39Updated 5 months ago