unet VS Deep-Learning-In-Production

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

unet

unet for image segmentation (by zhixuhao)
Unet Keras Segmentation
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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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unet Deep-Learning-In-Production
1 2
4,445 1,073
- 0.8%
0.0 0.0
26 days ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
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unet

Posts with mentions or reviews of unet. We have used some of these posts to build our list of alternatives and similar projects.
  • U-net Returning Black Square As Prediction
    1 project | /r/MLQuestions | 7 Feb 2022
    Issue with the model architecture and what I’m trying to do with it? I’ve used the model from this GitHub project (https://github.com/zhixuhao/unet), as it seemed somewhat similar to what I was trying to do. I understand what is happening from layer to layer, but not the input/output parts. (I’ll put the code for it below)

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 unet and Deep-Learning-In-Production you can also consider the following projects:

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

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

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

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

cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

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

drrmsan - DRRMSAN: Deep Residual Regularized Multi-Scale Attention Networks for segmentation of medical images. Machine Leaning 2 (DA330) Course Project, RKMVERI.

BCDU-Net - BCDU-Net : Medical Image Segmentation

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

unet vs Human-Segmentation-PyTorch Deep-Learning-In-Production vs strv-ml-mask2face unet vs segmentation_models Deep-Learning-In-Production vs ArtLine unet vs ETCI-2021-Competition-on-Flood-Detection Deep-Learning-In-Production vs PConv-Keras unet vs cellpose Deep-Learning-In-Production vs practical-mlops-book unet vs drrmsan Deep-Learning-In-Production vs Human-Segmentation-PyTorch unet vs BCDU-Net Deep-Learning-In-Production vs TensorFlow-Tutorials