Deep-Learning-In-Production VS PConv-Keras

Compare Deep-Learning-In-Production vs PConv-Keras 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)

PConv-Keras

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai (by MathiasGruber)
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Deep-Learning-In-Production PConv-Keras
2 2
1,073 893
0.8% -
0.0 0.0
almost 1 year ago about 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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

PConv-Keras

Posts with mentions or reviews of PConv-Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-05.
  • Image inpainting using Keras?
    1 project | /r/learnpython | 29 Sep 2022
    Recently I came across Partial Convolutions for Image Inpainting using Keras and spent a few days playing with the Jupyter notebooks included in the repo. I tried hard to reverse engineer everything in an effort to learn, but my limited experience with deep learning neural networks left me unable to accomplish anything.
  • [D] Anyone deploy DL models with AWS Lambda? Trying to estimate costs
    2 projects | /r/MachineLearning | 5 Apr 2021
    https://www.fixmyphoto.ai/ has been deployed "on a serverless React application with AWS lambda functions handling inference" according to the github page.

What are some alternatives?

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

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

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

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

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

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

Deep-Learning-With-TensorFlow - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow

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

osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

WeatherInterpolation - Simulating Sensor Error & Interpolating Gaps with Deep Learning

TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?

Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]