Incremental learning of polynomials (and other LIP models) with IRMA
Incremental learning of polynomials (and other LIP models) with IRMA launched on January 6, 2021 with 24 votes, #938 of 3,157 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
IRMA is a tool for incremental learning of polynomial models and other LIP (Linear in Parameters) models. It enables users to progressively build and refine mathematical models from data without needing to reprocess entire datasets. The software is designed for researchers and practitioners working with polynomial fitting and related regression techniques who require efficient, iterative model development workflows.
written from the facts on this page · September 2026
Does a similar job
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- IPInteractive polynomial roots toy2017 · duetosymmetry.com · ▲69
Interactive toy for visualizing relationship between polynomial roots and coefficients
Fine-grained stylistic control of LLMs using model arithmetic2023 · github.com · ▲85We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.

Pytorch library of NLP models has a new model: Facebook's RoBERTa2019 · github.com · ▲5🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release New model: RoBERTa, tokenizer sequence pair handling for sequence classification models. · huggingface/transformers

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