This is a public repo where code samples are stored for the book Practical MLOps.

Last update: Dec 31, 2022

Related tags

Machine Learning python learning machine-learning cloud machine oreilly-books practical-mlops

Overview

Practical MLOps, an O'Reilly Book

This is a public repo where code samples are stored for the book Practical MLOps.

Tentative Outline

Chapter 1: Introduction to MLOps

Source Code Chapter 1:

Multi-cloud Github Actions Demo

Chapter 2: MLOps Foundations

Source Code Chapter 2:

Chapter 3: Machine Learning Deployment In Production Strategies

Source Code Chapter 3:

Chapter 4: Continuous Delivery for Machine Learning Models

Source Code Chapter 4:

Chapter 5: AutoML

Source Code Chapter 5:

Chapter 6: Monitoring and Logging for Machine Learning

Source Code Chapter 6:

Chapter 7: MLOps for AWS

Source Code Chapter 7:

Chapter 8: MLOps for Azure

Source Code Chapter 8:

Chapter 9: MLOps for GCP

Source Code Chapter 9:

Chapter 10: Machine Learning Interoperability

Source Code Chapter 10:

Chapter 11: Building MLOps command-line tools

Source Code Chapter 11:

Chapter 12: Machine Learning Engineering and MLOps Case Studies

Source Code Chapter 12:

Community Recipes

This section includes "community" recipes. Many "may" be included in the book if timing works out.

References

Next Steps: Take Coursera MLOps Course

Owner

Pragmatic AI Labs

Experts on cloud native Machine Learning and AI Solutions. One million trained by 2021. #onemillion2021

Pragmatic AI Labs

GitHub Repository

A machine learning web application for binary classification using streamlit

Machine Learning web App This is a machine learning web application for binary classification using streamlit options this application contains 3 clas

1 Dec 20, 2021

This is a public repo where code samples are stored for the book Practical MLOps.

[Book-2021] Practical MLOps O'Reilly Book

421 Dec 31, 2022

Using Logistic Regression and classifiers of the dataset to produce an accurate recall, f-1 and precision score

Using Logistic Regression and classifiers of the dataset to produce an accurate recall, f-1 and precision score

1 Jan 31, 2022

This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

Crypto-Currency-Predictor This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you

6 Dec 04, 2022

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort

2.3k Jan 04, 2023

Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python Open access and Code This repository contains the open access version of the text and the code examples in

339 Jan 02, 2023

LightGBM + Optuna: no brainer

AutoLGBM LightGBM + Optuna: no brainer auto train lightgbm directly from CSV files auto tune lightgbm using optuna auto serve best lightgbm model usin

22 Dec 15, 2022

CVXPY is a Python-embedded modeling language for convex optimization problems.

CVXPY The CVXPY documentation is at cvxpy.org. We are building a CVXPY community on Discord. Join the conversation! For issues and long-form discussio

4.3k Jan 08, 2023

ThunderSVM: A Fast SVM Library on GPUs and CPUs

What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss

1.4k Dec 22, 2022

Random Forest Classification for Neural Subtypes

Random Forest classifier for neural subtypes extracted from extracellular recordings from human brain organoids.

1 Jan 31, 2022

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S

3.5k Jan 01, 2023

Python-based implementations of algorithms for learning on imbalanced data.

ND DIAL: Imbalanced Algorithms Minimalist Python-based implementations of algorithms for imbalanced learning. Includes deep and representational learn

220 Dec 13, 2022

Solve automatic numerical differentiation problems in one or more variables.

numdifftools The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more vari

181 Dec 16, 2022

Apple-voice-recognition - Machine Learning

Apple-voice-recognition Machine Learning How does Siri work? Siri is based on large-scale Machine Learning systems that employ many aspects of data sc

1 Oct 22, 2021

Production Grade Machine Learning Service

This project is made to help you scale from a basic Machine Learning project for research purposes to a production grade Machine Learning web service

10 Apr 04, 2022

Implementation of the Object Relation Transformer for Image Captioning

Object Relation Transformer This is a PyTorch implementation of the Object Relation Transformer published in NeurIPS 2019. You can find the paper here

158 Dec 24, 2022

Real-time domain adaptation for semantic segmentation

Advanced-Machine-Learning This repository contains the code for the project Real

1 Jan 30, 2022

Learn Machine Learning Algorithms by doing projects in Python and R Programming Language

Learn Machine Learning Algorithms by doing projects in Python and R Programming Language. This repo covers all aspect of Machine Learning Algorithms.

6 Oct 20, 2022

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Hivemind: decentralized deep learning in PyTorch Hivemind is a PyTorch library to train large neural networks across the Internet. Its intended usage

1.3k Jan 08, 2023

Python implementation of the rulefit algorithm

RuleFit Implementation of a rule based prediction algorithm based on the rulefit algorithm from Friedman and Popescu (PDF) The algorithm can be used f

326 Jan 02, 2023