Alternatives and similar repositories for mlops-code-examples

Users that are interested in mlops-code-examples are comparing it to the libraries listed below

• thejat / mlops-notebooks
  ☆66Updated 8 months ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• srivatsan88 / google_cloud_AI_ML
  This repository contains code to learn AI and ML on Google Cloud Platform
  ☆101Updated 4 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 3 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆95Updated 2 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆36Updated 2 years ago
• abhishekkrthakur / csv_test
  ☆26Updated 4 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• thejat / dl-notebooks
  ☆26Updated this week
• elleobrien / wine
  wine prediction dataset
  ☆68Updated last year
• 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…
  ☆184Updated 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
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆91Updated last month
• Peco602 / maternal-health-risk
  Maternal Health Risk prediction MLOps pipeline
  ☆46Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated last month
• srivatsan88 / Natural-Language-Processing
  This repository host code of my NLP playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP6zMkHMxFJV4yXIsET5aWlc
  ☆47Updated 5 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• 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
• 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
• MuhammadAwon / ml-engineering
  The repository contains all the work including projects, notes, and articles related to ML Engineering while I am learning.
  ☆10Updated 3 years ago
• dipanjanS / nlp_workshop_odsc_europe20
  Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep le…
  ☆135Updated 5 years ago
• BPrasad123 / MLOps_Zoomcamp
  MLOps hands-on notes, notebooks and scripts of months of learning
  ☆27Updated 3 years ago
• parulnith / Data-Science-Articles
  A collection of my blogs on Data Science and Machine learning.
  ☆87Updated last year
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆81Updated 3 years ago
• mihail911 / fake-news
  Building a fake news detector from initial ideation to model deployment
  ☆165Updated this week
• srijiths / MLOps-IRIS
  Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
  ☆63Updated 4 years ago
• Meesho / spark_calibration
  Spark Calibration - A python package for calibrating probabilities predicted by ML model involving large training & test datasets as spar…
  ☆18Updated last month