
Model Zoo
Deploy your machine learning model in a single line of code.
Model Zoo launched on July 5, 2020 with 74 votes, #663 of 4,305 launches that month and more than 75% of that year's launches.
What it does
Deploy your model to an HTTP endpoint with a single line of code. Monitor, manage, and update your models in production with a simple Python API. Check out a https://app.modelzoo.dev/models/ssd-mobilenet-v2-coco?tab=use or try it for free with a quickstart: https://colab.research.google.com/github/model-zoo/examples/blob/master/tensorflow-quickstart/quickstart.ipynb or https://colab.research.google.com/github/model-zoo/examples/blob/master/transformers-quickstart/quickstart.ipynb. https://colab.research.google.com/github/model-zoo/examples/blob/master/tensorflow-quickstart/quickstart.ipynb
Does a similar job
all alternatives →- MZModel Zoo: Deploy your machine learning model in a single line of code2020 · modelzoo.dev · ▲34
Informasi Akurat, Berita Terupdate – Hanya di Sini


Deploy ML Models on a Budget2021 · github.com · ▲117Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml

Compile ML models into dependency-free source code for easy deployment2023 · waveworks.dk · ▲37I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…
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