AI · alternatives · 2026
24 alternatives to Backprop – a simple library to use and finetune state-of-the-art models
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. - backprop-ai/backprop
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Backprop – a simple library to use and finetune state-of-the-art models launched in 2021; newer entries below may have overtaken it.
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Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
2019 · github.com · its alternatives →
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Hello HN, We built Promptrepo to make finetuning accessible to product teams — not just ML engineers. Last week, OpenAI’s CPO shared how they use fine-tuning for everything from customer support to deep research, and called it the future for serious AI teams. Yet most teams I know still rely on prompting, because fine-tuning is too technical, while the people who have the training data (product managers and domain experts) are often non-technical. With Promptrepo, they can now: - Add training examples in Google Sheets - Click a button to train - Deploy and test instantly - Use OpenAI,…
2025 · promptrepo.com · its alternatives →
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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 →
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FinetuneFast▲36Finetune your ML model in days - not weeks!
2024 · finetunefast.com · its alternatives →
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Flush AI▲135Rapidly run, chain together & deploy AI art models
2024 · flushai.cloud · 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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The simplest way to serve AI/ML models in production - basetenlabs/truss
2022 · github.com · its alternatives →
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2016 · blog.otoro.net · its alternatives →
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Hey HN! We’re Vaibhav and Marcello. We’re building Plexe (https://github.com/plexe-ai/plexe), an open-source agent that turns natural language task descriptions into trained ML models. Here’s a video walkthrough: https://www.youtube.com/watch?v=bUwCSglhcXY. There are all kinds of uses for ML models that never get realized because the process of making them is messy and convoluted. You can spend months trying to find the data, clean it, experiment with models and deploy to production, only to find out that your project has been binned for taking so long.…
2025 · github.com · its alternatives →
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FineTuner▲164NEW88 là nền tảng giải trí trực tuyến uy tín hàng đầu Châu Á với đa dạng sản phẩm, ưu đãi khủng và trải nghiệm an toàn bảo mật trên mọi thiết bị.
2025 · nowhiteboards.io · its alternatives →
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Modelbit▲125Heroku for Data Science, from the founders of Periscope Data
2023 · modelbit.com · its alternatives →
- 15AI
2023 · x0axz.com · its alternatives →
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- 19CI
2021 · convect.ml · its alternatives →
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MCP Cloud▲52Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.
2025 · mcp-cloud.ai · its alternatives →
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Aquarium▲103Improve ML models by improving datasets they’re trained on
2020 · aquariumlearning.com · its alternatives →
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- 24DA
2018 · modeldepot.io · 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 →