AI · alternatives · 2026
24 alternatives to Deploy Machine Learning Models with Django
Deploy Machine Learning models with Django
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Deploy Machine Learning Models with Django launched in 2019; newer entries below may have overtaken it.
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Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml
2021 · github.com · its alternatives →
- 2CP
2018 · modeldepot.io · its alternatives →
- 3
My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.
2020 · github.com · its alternatives →
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2019 · zecoda.com · its alternatives →
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- 8DA
2018 · modeldepot.io · its alternatives →
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- 10MZ
Informasi Akurat, Berita Terupdate – Hanya di Sini
2020 · modelzoo.dev · its alternatives →
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I'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…
2023 · waveworks.dk · its alternatives →
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Deploy machine learning models with one line of code
2023 · keaml.com · its alternatives →
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Modelbit▲125Heroku for Data Science, from the founders of Periscope Data
2023 · modelbit.com · its alternatives →
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a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
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- 19MM
Hi, I'm one of the project creators. MLEM is a tool that helps you deploy your ML models. It’s a Python library + Command line tool. 1. MLEM can package an ML model into a Docker image or a Python package, and deploy it to, for example, Heroku. 2. MLEM saves all model metadata to a human-readable text file: Python environment, model methods, model input & output data schema and more. 3. MLEM helps you turn your Git repository into a Model Registry with features like ML model lifecycle management. Our philosophy is that MLOps tools should be built using the Unix approach - each tool solves a…
2022 · its alternatives →
- 20CI
2021 · convect.ml · its alternatives →
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Pretrained AI▲144Integrate pretrained machine learning models in minutes.
2021 · pretrained.ai · its alternatives →
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Deploy Django on a cloud server you own. Appliku manages the server, and its CLI and agent skill let your AI coding agent deploy and diagnose your app.
2021 · appliku.com · its alternatives →
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We had a lot of reasons we wanted to build our own help desk, the least of which (and easiest to mention) is that a three seat license to the top tier desk systems are well over $100/mo. Plus they were slowing us down quite a bit. Right now its only dependency is Django, it supports email alert for updates, has bundled style, a permission like public/private/internal status, optional anonymous questions/responses, categories, searching, and a few more I've missed. What I'd like to do is: extend tests, class based views, parse incoming emails as questions & response (this is important for…
2012 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →