Dev tools · alternatives · 2026

24 alternatives to Deploy and Retrain Cutting Edge ML Image Recognition via REST API

Model Depot is a developer tool that helps visualize the trade-offs between performance and cost across different language models. It provides a REST API for deploying and retraining machine learning image recognition… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Deploy and Retrain Cutting Edge ML Image Recognition via REST API launched in 2018; newer entries below may have overtaken it.

1CP
Curated, Pre-trained ML Models for Transfer Learning▲324
2018 · modeldepot.io · its alternatives →
2TA
Turn a low res image to high res with ML▲13
2018 · modeldepot.io · its alternatives →
3SE
Search engine for 20,000+ machine learning models▲18
2018 · modeldepot.io · its alternatives →
4
ModelDepot▲108
Curated Machine Learning models to ⚡supercharge⚡your product
2018 · modeldepot.io · its alternatives →
5
Inferless▲749
Deploy any machine learning models in minutes
2025 · inferless.com · its alternatives →
6
Recraft Image Model▲304
First AI with high-quality images in user-uploaded style
2024 · its alternatives →
7
Lobe▲1,236
Visual tool for building custom deep learning models
2018 · github.com · its alternatives →
8
Deploy ML Models on a Budget▲117
Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml
2021 · github.com · its alternatives →
9
Plexe▲273
Build and deploy ML models in English
2025 · plexe.ai · its alternatives →
10
Fullstack ML – From Notebooks to Deployment▲198
Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
2019 · github.com · its alternatives →
11
Model Zoo▲74
Deploy your machine learning model in a single line of code.
2020 · its alternatives →
12
I trained a deep learning model to build sites for me▲397
2019 · zecoda.com · its alternatives →
13
Generated Photos API▲362
Generate worry-free, diverse models on-demand using AI
2019 · generated.photos · its alternatives →
14
Layer AI▲124
Metadata store for production ML
2022 · layer.ai · its alternatives →
15CI
Convect – Instant Serverless Deployment of ML Models▲89
2021 · convect.ml · its alternatives →
16
Truss – Serve any ML model without boilerplate code▲68
The simplest way to serve AI/ML models in production - basetenlabs/truss
2022 · github.com · its alternatives →
17
Pretrained AI▲144
Integrate pretrained machine learning models in minutes.
2021 · pretrained.ai · its alternatives →
18
Machine learning automation from creating to using models in production▲72
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 →
19DA
depot.ai – easily embed ML / AI models in your Dockerfile▲7
Hey HN! We're excited to launch https://depot.ai today - depot.ai is an open-source Docker registry that makes it easy to embed public models from Hugging Face in your Docker images using a `COPY`: # Copy all files from the model repo to the current WORKDIR COPY --link --from=depot.ai/runwayml/stable-diffusion-v1-5 / . # COPY just one file from the model repo to the current WORKDIR COPY --link --from=depot.ai/runwayml/stable-diffusion-v1-5 /v1-5-pruned.ckpt . To optimize build speed, cache hits, and registry storage, we're building each image…
2023 · its alternatives →
20
Zoo▲234
A free, open-source playground for AI image models
2023 · zoo.replicate.dev · its alternatives →
21MZ
Model Zoo: Deploy your machine learning model in a single line of code▲34
Informasi Akurat, Berita Terupdate – Hanya di Sini
2020 · modelzoo.dev · its alternatives →
22
Cargoship▲117
Curated open-source AI models for web developers
2023 · its alternatives →
23
MLConsole – web app to train ML models, for free and client-side▲86
ML Console is a free tool to build an AI model without writing a single line of code. Simply pick a column to predict, and let us handle the rest.
2021 · mlconsole.com · its alternatives →
24
Compile ML models into dependency-free source code for easy deployment▲37
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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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 →