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
Backprop – a simple library to use and finetune state-of-the-art models launched on March 24, 2021 with 5 votes and more than 50% of that year's launches. The site was still online in September 2026, 5 years on.
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Fullstack ML – From Notebooks to Deployment2019 · github.com · ▲198Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
Create your own finetuned AI model using Google Sheets2025 · promptrepo.com · ▲137Hello 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,…
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


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