Deep-Learning-In-Production VS learnopencv

Compare Deep-Learning-In-Production vs learnopencv and see what are their differences.

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Deep-Learning-In-Production learnopencv
2 6
1,073 20,408
0.8% -
0.0 8.6
almost 1 year ago 8 days ago
Jupyter Notebook Jupyter Notebook
- -
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-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

learnopencv

Posts with mentions or reviews of learnopencv. 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 learnopencv you can also consider the following projects:

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

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

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

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

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

YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.

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

xojo-opencvc - Xojo-OpenCVC brings OpenCV 4.5+ to Xojo, using the OpenCV-C API

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

Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results