Deep-Learning-In-Production VS practical-mlops-book

Compare Deep-Learning-In-Production vs practical-mlops-book and see what are their differences.

Deep-Learning-In-Production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples. (by The-AI-Summer)
Machine Learning Production Deep Learning AI Tensorflow neural-network Python Deployment Cloud Training Unet semantic-segmentation machinelearningproject Deeplearning
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practical-mlops-book

[Book-2021] Practical MLOps O'Reilly Book (by paiml)
practical-mlops Machine Learning Cloud oreilly-books Python Machine Learning
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Deep-Learning-In-Production practical-mlops-book
2 1
1,073 612
0.8% 0.0%
0.0 0.0
almost 1 year ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
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Deep-Learning-In-Production

Posts with mentions or reviews of Deep-Learning-In-Production. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Deep Learning in Production Book
    1 project | /r/MachineLearning | 30 Nov 2021
    The book is based on an old articles series we wrote on our blog so a big portion of the content is already available for free. We just organized/restructured some of the articles and we added some new material. We use a variety of examples with libraries such as Tensorflow, Flask, uWSGI, Nginx, Docker, Kubernetes, Tensorflow Extended, Google Cloud, Vertex AI. The full code and the articles can be found on Github (https://github.com/The-AI-Summer/Deep-Learning-In-Production)
  • [D] Deep learning in Production
    1 project | /r/MachineLearning | 8 Mar 2021

practical-mlops-book

Posts with mentions or reviews of practical-mlops-book. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Deep-Learning-In-Production and practical-mlops-book you can also consider the following projects:

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

ArtLine - A Deep Learning based project for creating line art portraits.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

aws-ml-guide - [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?

FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling - Repository for my Master's Thesis "Application of Machine Learning Models within Credit Risk Modelling" at Faculty of Finance and Accounting, Prague University of Economics and Prague (FFÚ VŠE)

Deep-Learning-In-Production vs strv-ml-mask2face practical-mlops-book vs Made-With-ML Deep-Learning-In-Production vs ArtLine practical-mlops-book vs ML-For-Beginners Deep-Learning-In-Production vs PConv-Keras practical-mlops-book vs aws-ml-guide Deep-Learning-In-Production vs Human-Segmentation-PyTorch practical-mlops-book vs TensorFlow-Examples Deep-Learning-In-Production vs TensorFlow-Tutorials practical-mlops-book vs ludwig Deep-Learning-In-Production vs TrainInvaders practical-mlops-book vs FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling