👨🔧
👨🔧
👨🔧
👨🔧
The Ops Compendium
Ask or search…
⌃
K
The Ops Compendium
Definitions
ML & DL Compendium
MLOps
MLOps Intro
MLOps Teams
MLOps Literature
MLOps Course
MLOps Patterns
ML Experiment Management
ML Model Monitoring & Alerts
MLOps Tools
MLOps Deployment
Feature Stores & Feature Pipelines
Model Formats
AI As Data
MLOps Interview Questions
Software Patterns
ML Architecture
DataOps
SQL
Tools
Lakes & Warehouses
Database Modeling
Data Engineering
Data Pipelines
Data Strategy
Data Vision
Data Teams
Data Catalogs
Data Governance
Data Quality
Data Observability
Data Program Management
Data KPIs
Data Mesh
Data Contract
Data Product
Data Engineering Questions & Training
Data Patterns
Data Architecture
DevOps
DevOps Strategy
DevOps Tools
DevSecOps
Definitions
Tools
Concepts
Architecture
Problems
Powered By
GitBook
Comment on page
MLOps Patterns
General Patterns
1.
ML product lifecycle patterns
2.
ML design patterns book repo
3.
Awesome MLOps
Visenger
1.
MLOps Roadmap
2.
Google’s Practitioners Guide to MLOps: A framework for continuous delivery and automation of machine learning
3.
State of MLOps
4.
Easy mlops with pycaret and mlflow
5.
Challenges and solutions by iguazio
Iguazio
1.
Metaflow, medium
1
(high level review),
2
(schema),
3
,
**4
(amazing),
5
(extra),
6
(loading and storing data docs!)
2.
HyperparameterHunter,
Hyperopt, mlflow, unit test, concept drifts, using python and kafka
Patterns in Practice
1.
An MLOps End-to-End system, i.e., "
You dont need a bigger boat
", using MetaFlow, Snowflake, DBT, Prefect, Great Expectations, Weights & Biases, Sagemaker, Lambda
2.
A simplistic E2E system
- Snowflake, DBT, S3, CometML, Reclist, SageMaker.
MLOps - Previous
MLOps Course
Next - MLOps
ML Experiment Management
Last modified
7mo ago
