Subway-Station-Hazard-Detection VS Deep-Learning-In-Production

Compare Subway-Station-Hazard-Detection vs Deep-Learning-In-Production and see what are their differences.

Subway-Station-Hazard-Detection

This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation. (by Psarpei)
Computer Vision Unity Pytorch Python C# Blender Simulation semantic-segmentation Machine Learning Deep Learning segnet Surveillance Deeplearning University
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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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Subway-Station-Hazard-Detection Deep-Learning-In-Production
4 2
11 1,068
- 2.0%
0.0 0.0
about 3 years ago 12 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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Subway-Station-Hazard-Detection

Posts with mentions or reviews of Subway-Station-Hazard-Detection. We have used some of these posts to build our list of alternatives and similar projects.

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 Subway-Station-Hazard-Detection and Deep-Learning-In-Production you can also consider the following projects:

ml-course - Open Machine Learning course

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

3D-Public-Transport-Simulator - The 3D Public Transport Simulator is a Unity-based simulation, which uses OpenStreetMap data in order to support the simulation of worldwide locations. The development was part of a Bachelor thesis.

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

pytorch-segmentation - :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

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

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

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

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

learnopencv - Learn OpenCV : C++ and Python Examples

Subway-Station-Hazard-Detection vs ml-course Deep-Learning-In-Production vs strv-ml-mask2face Subway-Station-Hazard-Detection vs 3D-Public-Transport-Simulator Deep-Learning-In-Production vs ArtLine Subway-Station-Hazard-Detection vs pytorch-segmentation Deep-Learning-In-Production vs PConv-Keras Deep-Learning-In-Production vs practical-mlops-book Deep-Learning-In-Production vs Human-Segmentation-PyTorch Deep-Learning-In-Production vs TensorFlow-Tutorials Deep-Learning-In-Production vs TrainInvaders Deep-Learning-In-Production vs TensorFlow2.0_Notebooks Deep-Learning-In-Production vs learnopencv