Github Top Repositories

🔥 Trending Repository: kubernetes 📝 Description: Production-Grade Container Scheduling and Management 🔗 Repository URL: https://github.com/kubernetes/kubernetes 🌐 Website: https://kubernetes.io 📖 Readme: https://github.com/kubernetes/kubernetes#readme 📊 Statistics: 🌟 Stars: 119K stars 👀 Watchers: 3.2k 🍴 Forks: 41.8K forks 💻 Programming Languages: Go - Shell - PowerShell - Makefile - Dockerfile - Python 🏷️ Related Topics:

#go #kubernetes #containers #cncf

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🔥 Trending Repository: ML-For-Beginners 📝 Description: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all 🔗 Repository URL: https://github.com/microsoft/ML-For-Beginners 📖 Readme: https://github.com/microsoft/ML-For-Beginners#readme 📊 Statistics: 🌟 Stars: 79.6K stars 👀 Watchers: 1.1k 🍴 Forks: 18.5K forks 💻 Programming Languages: Jupyter Notebook - HTML - Python - Vue - JavaScript - Dockerfile 🏷️ Related Topics:

#python #education #data_science #machine_learning #r #scikit_learn #machine_learning_algorithms #ml #machinelearning #machinelearning_python #scikit_learn_python #microsoft_for_beginners

================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: social-engineer-toolkit 📝 Description: The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here. 🔗 Repository URL: https://github.com/trustedsec/social-engineer-toolkit 📖 Readme: https://github.com/trustedsec/social-engineer-toolkit#readme 📊 Statistics: 🌟 Stars: 13K stars 👀 Watchers: 645 🍴 Forks: 3.1K forks 💻 Programming Languages: Python - C++ - Shell - C - Java - CSS 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: Foundations-of-LLMs 📝 Description: No description available 🔗 Repository URL: https://github.com/ZJU-LLMs/Foundations-of-LLMs 📖 Readme: https://github.com/ZJU-LLMs/Foundations-of-LLMs#readme 📊 Statistics: 🌟 Stars: 13K stars 👀 Watchers: 157 🍴 Forks: 1.2K forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: next-ai-draw-io 📝 Description: A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization. 🔗 Repository URL: https://github.com/DayuanJiang/next-ai-draw-io 🌐 Website: https://next-ai-drawio.jiang.jp/ 📖 Readme: https://github.com/DayuanJiang/next-ai-draw-io#readme 📊 Statistics: 🌟 Stars: 3K stars 👀 Watchers: 17 🍴 Forks: 375 forks 💻 Programming Languages: TypeScript - CSS 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: fizzy 📝 Description: Kanban as it should be. Not as it has been. 🔗 Repository URL: https://github.com/basecamp/fizzy 🌐 Website: https://fizzy.do 📖 Readme: https://github.com/basecamp/fizzy#readme 📊 Statistics: 🌟 Stars: 2.4K stars 👀 Watchers: 27 🍴 Forks: 299 forks 💻 Programming Languages: Ruby - HTML - CSS - JavaScript 🏷️ Related Topics:

#ruby #rails #kanban #hotwire

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: Memori 📝 Description: Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems 🔗 Repository URL: https://github.com/MemoriLabs/Memori 🌐 Website: https://memorilabs.ai 📖 Readme: https://github.com/MemoriLabs/Memori#readme 📊 Statistics: 🌟 Stars: 8.8K stars 👀 Watchers: 46 🍴 Forks: 629 forks 💻 Programming Languages: Python - PLpgSQL 🏷️ Related Topics:

#python #agent #awesome #state_management #ai #memory #memory_management #hacktoberfest #long_short_term_memory #rag #llm #memori_ai #hacktoberfest2025 #chatgpt #aiagent

================================== 🧠 By: https://t.me/DataScienceM

A new Python library for agent-based data-processing and ETL using AI has been released. Introducing DocETL. What is important to know: 1. What is DocETL? It is a tool for creating and running data pipelines, especially well-suited for complex document processing. It includes: - interactive UI playground - Python package for running pipelines in production 2. DocWrangler DocWrangler helps gradually build the pipeline: - trying different prompts and viewing results in real-time - building the pipeline step by step - exporting the final configuration for production 3. Python package DocETL It is used for running pipelines in production. In the example, a pipeline is created that analyzes medical transcripts, identifies drug names, normalizes similar names, and generates summaries of side effects and areas of application. More information: https://github.com/ucbepic/docetl 👉 https://t.me/DataScienceN

👨‍💻 Wren AI 🛠 Wren AI is an AI agent that allows users to request data in natural language and receive accurate SQL queries, charts, and analytical reports within seconds. 🔰 It provides capabilities for data interaction, insight generation, and includes a semantic layer that ensures the accuracy of conclusions. 🔰 API integration enables the creation of custom agents and chatbots. 🌟 The platform supports multiple databases and is compatible with various LLM models. 🔗 Links: https://github.com/Canner/WrenAI 🖤Tags: #ai #agents #sql #llm

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If you love automating everything, this is for you AutoPilot is an open-source panel built with #Python + #Streamlit, packed with a whole arsenal of useful automations. Open it, and you have tools at your fingertips like background removal for photos, QR code generation, YouTube downloading, fake data creation, audiobooks, email sending, code analysis, image editing, and even a news reader. One window instead of a dozen services. 🙂 https://github.com/Ai-Quill/automated 👉 https://t.me/DataScienceN

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