andreaschandra / practical-mlops-book-extendedLinks
Practical MLOps O'Reilly Book - Personal Extended Version
☆16Updated 2 years ago
Alternatives and similar repositories for practical-mlops-book-extended
Users that are interested in practical-mlops-book-extended are comparing it to the libraries listed below
Sorting:
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Serving TensorFlow models with TensorFlow Serving☆43Updated 3 years ago
- Wrapper library for text cleansing, preprocessing in NLP☆17Updated 4 years ago
- Demo for CI/CD in a machine learning project☆111Updated 2 years ago
- Maternal Health Risk prediction MLOps pipeline☆45Updated 2 years ago
- How to build and deploy an anonymization API with FastAPI and SpaCy☆71Updated 4 years ago
- ☆37Updated last year
- Indonesian BERT Fine Tuning News Classification☆15Updated 5 years ago
- Introduction to Generative Adversarial Networks☆22Updated 4 years ago
- Fundamental-Python-For-Machine-Learning part1☆12Updated 2 months ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last year
- A repository for computer vision applications - image classification, multi label classification, object detection and image segmentation☆17Updated 8 months ago
- Twitter Sentiment Analysis Using InSet (Indonesia Sentiment Lexicon) and Random Forest Classifier☆10Updated last year
- Practical guidlines with machine learning lifecycle especially in computer vision domains☆16Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 3 years ago
- Image classification for javanese script. This project is our final project for Google Bangkit Academy☆11Updated 4 years ago
- Production-Ready Applied Deep Learning☆90Updated last year
- Example machine learning pipeline with MLflow and Hydra☆92Updated 2 years ago
- Demo Computer Vision Project☆63Updated 2 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆79Updated 2 years ago
- A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.☆38Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- An end-to-end project on customer segmentation☆21Updated 3 years ago
- PyCaret and Streamlit app deployment on Heroku☆68Updated 4 years ago
- Microservice creation and Machine Learning Model Deployment using FastAPI☆116Updated 3 years ago
- where geeks hangout and discuss about data engineering☆41Updated 2 years ago
- MLOps maturity assessment☆61Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- ☆66Updated 4 months ago
- MLOps hands-on notes, notebooks and scripts of months of learning☆27Updated 3 years ago