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docs: Update README #1330
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@@ -85,6 +85,7 @@ FEDOT предоставляет возможность использовать | |
================ | ||
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FEDOT предоставляет высокоуровневый API, который удобно использовать. API может использоваться для задач классификации, регрессии и прогнозирования временных рядов. | ||
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Чтобы использовать API, выполните следующие действия: | ||
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1. Импортируйте класс ``Fedot`` | ||
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@@ -185,7 +186,8 @@ Jupyter ноутбуки с примерами находятся в репоз | |
В настоящее время мы работаем над новыми функциями и пытаемся улучшить производительность и удобство использования FEDOT. | ||
Основные текущие задачи и планы: | ||
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* Реализация методов и алгоритмов мета-обучения | ||
* Реализация большой языковой модели для задач автоматического машинного обучения. | ||
* Реализация методов и алгоритмов мета-обучения. | ||
* Повышение эффективности оптимизационного ядра GOLEM. | ||
* Поддержка более сложных вариантов пайплайнов, особенно для задач прогнозирования временных рядов. | ||
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Дополнительные проекты | ||
====================== | ||
- Оптимизационное ядро, вынесенное в библиотеку `GOLEM <https://github.com/aimclub/GOLEM/>`__. | ||
- Прототип реализации Meta-AutoML - `MetaFEDOT <https://github.com/ITMO-NSS-team/MetaFEDOT>`__. | ||
- Прототип web-GUI для FEDOT - `FEDOT.WEB <https://github.com/aimclub/FEDOT.Web>`__. | ||
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- Оптимизационное ядро, вынесенное в библиотеку GOLEM. | ||
- Прототип web-GUI для FEDOT - FEDOT.WEB. | ||
- Прототип реализации Meta-AutoML - MetaFEDOT. | ||
- Прототип реализации LLM для AutoML - FEDOT.LLM. | ||
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Контакты | ||
======== | ||
- `Telegram-канал <https://t.me/FEDOT_helpdesk>`_ для решения проблем и ответов на вопросы о FEDOT | ||
- Команда `Natural System Simulation <https://itmo-nss-team.github.io/>`_ | ||
- `Анна Калюжная <https://scholar.google.com/citations?user=bjiILqcAAAAJ&hl=ru>`_, руководитель ([email protected]) | ||
- `Новости <https://t.me/NSS_group>`_ | ||
- `Новостной Telegram-канал <https://t.me/NSS_group>`_ | ||
- `Youtube канал <https://www.youtube.com/channel/UC4K9QWaEUpT_p3R4FeDp5jA>`_ | ||
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Разработка ведётся при поддержке | ||
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pages={926-933}, | ||
doi={10.1109/CEC45853.2021.9504773}} | ||
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Другие статьи доступны на `ResearchGate <https://www.researchgate.net/project/Evolutionary-multi-modal-AutoML-with-FEDOT-framework>`_. | ||
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.. |docs| image:: https://readthedocs.org/projects/ebonite/badge/?style=flat | ||
:target: https://fedot.readthedocs.io/en/latest/ | ||
:alt: Documentation Status | ||
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@@ -186,10 +186,13 @@ Current R&D and future plans | |
Currently, we are working on new features and trying to improve the performance and the user experience of FEDOT. | ||
The major ongoing tasks and plans: | ||
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* Implementation of meta-learning based at GNN and RL (see `MetaFEDOT <https://github.com/ITMO-NSS-team/MetaFEDOT>`__) | ||
* Implementation of large language model for AutoML tasks in `FEDOT.LLM <https://github.com/ITMO-NSS-team/FEDOT.LLM>`__ repository. | ||
* Implementation of meta-learning based at GNN and RL (see `GAMLET <https://github.com/ITMO-NSS-team/GAMLET>`__) | ||
* Improvement of the optimisation-related algorithms implemented in `GOLEM <https://github.com/aimclub/GOLEM/>`__. | ||
* Support for more complicated pipeline design patters, especially for time series forecasting. | ||
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In addition, we are working on a number of research tasks related to benchmarking of time series forecasting using AutoML and multimodal modelling. | ||
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Any contribution is welcome. Our R&D team is open for cooperation with other scientific teams as well as with industrial partners. | ||
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Documentation | ||
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Side Projects | ||
============= | ||
- The optimisation core implemented in `GOLEM <https://github.com/aimclub/GOLEM/>`__ repository. | ||
- The prototype of the web-GUI for FEDOT is available in the `FEDOT.WEB <https://github.com/aimclub/FEDOT.Web>`__ repository. | ||
- The prototype of FEDOT-based meta-AutoML in the `MetaFEDOT <https://github.com/ITMO-NSS-team/MetaFEDOT>`__ repository. | ||
- The optimisation core implemented in the GOLEM. | ||
- The prototype of the web-GUI for FEDOT is available in the FEDOT.WEB. | ||
- The prototype of FEDOT-based meta-AutoML in the GAMLET. | ||
- The prototype of FEDOT-based LLM for nexgen AutoML in the FEDOT.LLM. | ||
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Contacts | ||
======== | ||
- `Telegram channel for solving problems and answering questions about FEDOT <https://t.me/FEDOT_helpdesk>`_ | ||
- `Natural System Simulation Team <https://itmo-nss-team.github.io/>`_ | ||
- `Anna Kalyuzhnaya <https://scholar.google.com/citations?user=bjiILqcAAAAJ&hl=ru>`_, Team leader ([email protected]) | ||
- `Newsfeed <https://t.me/NSS_group>`_ | ||
- `Telegram newsfeed channel <https://t.me/NSS_group>`_ | ||
- `Youtube channel <https://www.youtube.com/channel/UC4K9QWaEUpT_p3R4FeDp5jA>`_ | ||
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Supported by | ||
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pages={926-933}, | ||
doi={10.1109/CEC45853.2021.9504773}} | ||
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Other papers - in `ResearchGate <https://www.researchgate.net/project/Evolutionary-multi-modal-AutoML-with-FEDOT-framework>`_. | ||
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.. |docs| image:: https://readthedocs.org/projects/ebonite/badge/?style=flat | ||
:target: https://fedot.readthedocs.io/en/latest/ | ||
:alt: Documentation Status | ||
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В русской версии ссылки потерялись.
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Незаметил. Исправил.