Deep-Learning-With-TensorFlow VS Deep-Learning-In-Production

Compare Deep-Learning-With-TensorFlow vs Deep-Learning-In-Production 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)
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Deep-Learning-With-TensorFlow Deep-Learning-In-Production
1 2
42 1,073
- 0.8%
4.2 0.0
over 3 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Deep-Learning-With-TensorFlow

Posts with mentions or reviews of Deep-Learning-With-TensorFlow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-12.

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

What are some alternatives?

When comparing Deep-Learning-With-TensorFlow and Deep-Learning-In-Production you can also consider the following projects:

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

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

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

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

Learning-Content - Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

docs - TensorFlow documentation

practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book

AI-Art-Generator - A program that can add an artistic touch to any image.

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

AlgoBook - A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos