Deep-Learning-In-Production VS TrainInvaders

Compare Deep-Learning-In-Production vs TrainInvaders 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)
Machine Learning Production Deep Learning AI Tensorflow neural-network Python Deployment Cloud Training Unet semantic-segmentation machinelearningproject Deeplearning
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amzn.to
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TrainInvaders

👾 Jupyter Notebook + Space Invaders!? (by aporia-ai)
jupyter-notebook space-invaders Machine Learning WebAssembly AI Python neural-network
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InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub helps you find the best software and product alternatives
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Deep-Learning-In-Production TrainInvaders
2 19
1,073 93
0.8% -
0.0 0.0
almost 1 year ago over 2 years ago
Jupyter Notebook C
- 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

TrainInvaders

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

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

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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

nlp-class - A Natural Language Processing course taught by Professor Ghassemi

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

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

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

ruby-fann - Ruby library for interfacing with FANN (Fast Artificial Neural Network)

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

bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

bemorehuman - The recommendation engine with particular focus on uniqueness of the person receiving the rec.

Deep-Learning-In-Production vs strv-ml-mask2face TrainInvaders vs spaCy Deep-Learning-In-Production vs ArtLine TrainInvaders vs nlp-class Deep-Learning-In-Production vs PConv-Keras TrainInvaders vs typedb-ml Deep-Learning-In-Production vs practical-mlops-book TrainInvaders vs ruby-fann Deep-Learning-In-Production vs Human-Segmentation-PyTorch TrainInvaders vs bitcoin_price_prediction Deep-Learning-In-Production vs TensorFlow-Tutorials TrainInvaders vs bemorehuman