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telegram-posts-clustering

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telegram-posts-clustering

ST
trashchenkov
Update README.md
9 месяцев назад
2366073
Не верифицирован

Описание

Приложение для агрегации и кластеризации постов из Telegram каналов с поддержкой различных LLM провайдеров и автоматическим определением оптимального количества кластеров.

Лицензия

В избранном1

Языки

Python51,6%
TypeScript27,8%
HTML13,6%
Shell7%

Сообщить о нарушении

Коммиты:

fix: исправлена ошибка отступа в telegram_parser.py - IndentationError на строке 132 и разорванная строка логгера

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

🚀 v1.1.3: Убраны mock данные, исправлены timezone ошибки - 100% реальные данные, ускорение на 76%

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Update README.md

9 месяцев назад

🔧 Обновление зависимостей и документации - убраны фиксированные версии, удален telethon, обновлена документация для Python 3.12+

9 месяцев назад

🚀 v1.1.3: Убраны mock данные, исправлены timezone ошибки - 100% реальные данные, ускорение на 76%

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

package-lock.json

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

🔧 Fix dependencies and improve project setup - remove version constraints, unused telethon, organize deps by category, improve start.sh script

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

Initial commit: Telegram Posts Clustering with ML - Hybrid clustering: sentence-transformers + K-means + LLM naming - Automatic optimal cluster detection using silhouette score - Support for OpenAI, Anthropic, Gemini, Ollama LLM providers - Real Telegram parsing via HTTP and snscrape - React + TypeScript frontend with modern UI - FastAPI backend with async processing - Comprehensive documentation and setup guides

9 месяцев назад

📱 Telegram Posts Aggregator ✨ Возможности 🧠 Алгоритм кластеризации 🤖 Поддерживаемые модели 🚀 Быстрый старт 🌐 Доступ 🏗️ Архитектура 📋 Требования 🔧 Конфигурация 🎯 Использование 🔄 Режимы работы 🚨 Ограничения 📖 Документация 🤝 Вклад в проект 📄 Лицензия

README.md

Описание

Приложение для агрегации и кластеризации постов из Telegram каналов с поддержкой различных LLM провайдеров и автоматическим определением оптимального количества кластеров.

Лицензия

В избранном1

Языки

Python51,6%
TypeScript27,8%
HTML13,6%
Shell7%

Сообщить о нарушении

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