Alternatives and similar repositories for MLOps_roadmap_and_curriculum

Users that are interested in MLOps_roadmap_and_curriculum are comparing it to the libraries listed below

• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆163Updated 2 weeks ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆232Updated 3 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆80Updated 2 years ago
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆187Updated last year
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆189Updated 2 weeks ago
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆188Updated last year
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆384Updated 2 years ago
• ziritrion / ml-zoomcamp
  ML Zoomcamp fall 2021 homework and stuff
  ☆66Updated 3 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆38Updated 2 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆616Updated 3 years ago
• ThinamXx / MachineLearning_DeepLearning
  I will share about Machine Learning and Deep Learning.
  ☆113Updated 2 years ago
• BPrasad123 / MLOps_Zoomcamp
  MLOps hands-on notes, notebooks and scripts of months of learning
  ☆27Updated 3 years ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆913Updated 11 months ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆135Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 2 weeks ago
• soumik12345 / mlops-zoomcamp-wandb
  ☆33Updated 2 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• ThinamXx / Transformers_NLP
  The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…
  ☆73Updated 2 years ago
• honghanhh / coursera-practical-data-science-specialization
  Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
  ☆60Updated 4 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆114Updated 4 years ago
• abhishekkrthakur / how-to-become-a-ds-in-30-days
  How to become a data scientist in 30 days
  ☆210Updated 4 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆115Updated 2 years ago
• ThinamXx / 66Days__NaturalLanguageProcessing
  I am sharing my Journey of 66DaysofData in Natural Language Processing.
  ☆189Updated 2 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆91Updated 2 weeks ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆414Updated 3 years ago
• sundarramamurthy / pyspark
  A quick reference guide to the most commonly used patterns and functions in PySpark SQL
  ☆55Updated 4 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆265Updated 3 years ago
• dmatrix / mlflow-workshop-part-1
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …
  ☆241Updated 5 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated 2 weeks ago