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📝 Description: Rust GUI components for building fantastic cross-platform desktop application by using GPUI.

🔗 Repository URL: https://github.com/longbridge/gpui-component

🌐 Website: https://longbridge.github.io/gpui-component/

📖 Readme: https://github.com/longbridge/gpui-component#readme

📊 Statistics:
🌟 Stars: 5.7K stars
👀 Watchers: 27
🍴 Forks: 232 forks

💻 Programming Languages: Rust - Tree-sitter Query - HTML - Shell - Python - C

🏷️ Related Topics:

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🔥 Trending Repository: headscale

📝 Description: An open source, self-hosted implementation of the Tailscale control server

🔗 Repository URL: https://github.com/juanfont/headscale

📖 Readme: https://github.com/juanfont/headscale#readme

📊 Statistics:
🌟 Stars: 32K stars
👀 Watchers: 172
🍴 Forks: 1.7K forks

💻 Programming Languages: Go

🏷️ Related Topics:

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🔥 Trending Repository: ai-engineering-hub

📝 Description: In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

🔗 Repository URL: https://github.com/patchy631/ai-engineering-hub

🌐 Website: https://join.dailydoseofds.com

📖 Readme: https://github.com/patchy631/ai-engineering-hub#readme

📊 Statistics:
🌟 Stars: 19.1K stars
👀 Watchers: 241
🍴 Forks: 3.2K forks

💻 Programming Languages: Jupyter Notebook - Python - TypeScript - HTML - Dockerfile - CSS

🏷️ Related Topics:

#machine_learning #ai #mcp #agents #rag #llms

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🔥 Trending Repository: aws-devops-zero-to-hero

📝 Description: AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.

🔗 Repository URL: https://github.com/iam-veeramalla/aws-devops-zero-to-hero

🌐 Website: https://www.youtube.com/@AbhishekVeeramalla

📖 Readme: https://github.com/iam-veeramalla/aws-devops-zero-to-hero#readme

📊 Statistics:
🌟 Stars: 8.9K stars
👀 Watchers: 561
🍴 Forks: 13.2K forks

💻 Programming Languages: Python - HCL - Shell - Dockerfile

🏷️ Related Topics: Not available

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🧠 By: https://t.me/DataScienceM

🎥 Ditto: Innovations in Video Editing with AI

Ditto is an advanced platform for generating high-quality data for instruction-based video editing. It combines the power of image and video generators, creating a unique Ditto-1M dataset with one million examples, enabling the training of models like Editto with outstanding results.

🚀Key highlights:
- Innovative data generation for video editing.
- Unique Ditto-1M dataset with one million examples.
- Efficient model architecture to reduce costs and improve quality.
- Use of an intelligent agent for filtering and quality control.

📌 GitHub: https://github.com/EzioBy/Ditto

🔥 Trending Repository: opentelemetry-collector

📝 Description: OpenTelemetry Collector

🔗 Repository URL: https://github.com/open-telemetry/opentelemetry-collector

🌐 Website: https://opentelemetry.io

📖 Readme: https://github.com/open-telemetry/opentelemetry-collector#readme

📊 Statistics:
🌟 Stars: 5.9K stars
👀 Watchers: 88
🍴 Forks: 1.8K forks

💻 Programming Languages: Go

🏷️ Related Topics:

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🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: Web-Dev-For-Beginners

📝 Description: 24 Lessons, 12 Weeks, Get Started as a Web Developer

🔗 Repository URL: https://github.com/microsoft/Web-Dev-For-Beginners

📖 Readme: https://github.com/microsoft/Web-Dev-For-Beginners#readme

📊 Statistics:
🌟 Stars: 92.5K stars
👀 Watchers: 2.7k
🍴 Forks: 14.4K forks

💻 Programming Languages: JavaScript - HTML - CSS - Vue - Python

🏷️ Related Topics:

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🔥 Trending Repository: VoiceInk

📝 Description: Voice-to-text app for macOS to transcribe what you say to text almost instantly

🔗 Repository URL: https://github.com/Beingpax/VoiceInk

🌐 Website: https://tryvoiceink.com

📖 Readme: https://github.com/Beingpax/VoiceInk#readme

📊 Statistics:
🌟 Stars: 2.2K stars
👀 Watchers: 10
🍴 Forks: 276 forks

💻 Programming Languages: Swift

🏷️ Related Topics:

#macos #swift #macos_app

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🔥 Trending Repository: olmocr

📝 Description: Toolkit for linearizing PDFs for LLM datasets/training

🔗 Repository URL: https://github.com/allenai/olmocr

📖 Readme: https://github.com/allenai/olmocr#readme

📊 Statistics:
🌟 Stars: 14.9K stars
👀 Watchers: 77
🍴 Forks: 1.1K forks

💻 Programming Languages: Python - Shell - HTML

🏷️ Related Topics: Not available

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🔥 Trending Repository: cpp-httplib

📝 Description: A C++ header-only HTTP/HTTPS server and client library

🔗 Repository URL: https://github.com/yhirose/cpp-httplib

📖 Readme: https://github.com/yhirose/cpp-httplib#readme

📊 Statistics:
🌟 Stars: 15.2K stars
👀 Watchers: 189
🍴 Forks: 2.5K forks

💻 Programming Languages: C++ - CMake - C - Meson - Makefile - Python

🏷️ Related Topics:

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🔥 Trending Repository: MONAI

📝 Description: AI Toolkit for Healthcare Imaging

🔗 Repository URL: https://github.com/Project-MONAI/MONAI

🌐 Website: https://monai.io/

📖 Readme: https://github.com/Project-MONAI/MONAI#readme

📊 Statistics:
🌟 Stars: 7K stars
👀 Watchers: 95
🍴 Forks: 1.3K forks

💻 Programming Languages: Python - C++ - Cuda

🏷️ Related Topics:

#deep_learning #python3 #pytorch #medical_image_computing #medical_image_processing #healthcare_imaging #monai

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🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: jan

📝 Description: Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.

🔗 Repository URL: https://github.com/janhq/jan

🌐 Website: https://jan.ai/

📖 Readme: https://github.com/janhq/jan#readme

📊 Statistics:
🌟 Stars: 38.4K stars
👀 Watchers: 203
🍴 Forks: 2.3K forks

💻 Programming Languages: TypeScript - Rust - Python - JavaScript - Shell - PowerShell

🏷️ Related Topics:

#open_source #self_hosted #gpt #tauri #llm #chatgpt #llamacpp #localai

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🔥 Trending Repository: mem0

📝 Description: Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

🔗 Repository URL: https://github.com/mem0ai/mem0

🌐 Website: https://mem0.ai

📖 Readme: https://github.com/mem0ai/mem0#readme

📊 Statistics:
🌟 Stars: 42.1K stars
👀 Watchers: 203
🍴 Forks: 4.5K forks

💻 Programming Languages: Python - TypeScript - MDX - Jupyter Notebook - JavaScript - Shell

🏷️ Related Topics:

#python #application #state_management #ai #memory #chatbots #memory_management #agents #hacktoberfest #ai_agents #long_term_memory #rag #llm #chatgpt #genai

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🔥 Trending Repository: WeKnora

📝 Description: LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

🔗 Repository URL: https://github.com/Tencent/WeKnora

🌐 Website: https://weknora.weixin.qq.com

📖 Readme: https://github.com/Tencent/WeKnora#readme

📊 Statistics:
🌟 Stars: 6.8K stars
👀 Watchers: 43
🍴 Forks: 778 forks

💻 Programming Languages: Go - Vue - Python - TypeScript - Shell - Less

🏷️ Related Topics:

#agent #golang #multi_tenant #ai #chatbot #evaluation #embeddings #openai #question_answering #chatbots #knowledge_base #semantic_search #reranking #multimodel #rag #vector_search #llm #generative_ai #agentic #ollama

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🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: claude-relay-service

📝 Description: CRS-自建Claude Code镜像，一站式开源中转服务，让 Claude、OpenAI、Gemini、Droid 订阅统一接入，支持拼车共享，更高效分摊成本，原生工具无缝使用。

🔗 Repository URL: https://github.com/Wei-Shaw/claude-relay-service

🌐 Website: https://pincc.ai

📖 Readme: https://github.com/Wei-Shaw/claude-relay-service#readme

📊 Statistics:
🌟 Stars: 4.6K stars
👀 Watchers: 13
🍴 Forks: 769 forks

💻 Programming Languages: JavaScript - Vue - Shell - CSS - Makefile - Dockerfile

🏷️ Related Topics:

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🔥 Trending Repository: Ventoy

📝 Description: A new bootable USB solution.

🔗 Repository URL: https://github.com/ventoy/Ventoy

🌐 Website: https://www.ventoy.net

📖 Readme: https://github.com/ventoy/Ventoy#readme

📊 Statistics:
🌟 Stars: 71.7K stars
👀 Watchers: 683
🍴 Forks: 4.5K forks

💻 Programming Languages: C - Shell - HTML - C++ - CSS - Makefile

🏷️ Related Topics:

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🔥 Trending Repository: BettaFish

📝 Description: 微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

🔗 Repository URL: https://github.com/666ghj/BettaFish

📖 Readme: https://github.com/666ghj/BettaFish#readme

📊 Statistics:
🌟 Stars: 2.1K stars
👀 Watchers:
🍴 Forks: 295 forks

💻 Programming Languages: Python - HTML

🏷️ Related Topics:

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🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: LLaMA-Factory

📝 Description: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

🔗 Repository URL: https://github.com/hiyouga/LLaMA-Factory

🌐 Website: https://llamafactory.readthedocs.io

📖 Readme: https://github.com/hiyouga/LLaMA-Factory#readme

📊 Statistics:
🌟 Stars: 61.3K stars
👀 Watchers: 295
🍴 Forks: 7.4K forks

💻 Programming Languages: Python

🏷️ Related Topics:

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

Clean Code Tip:

For reusable setup and teardown logic, you can create your own context managers. Instead of writing a full class with __enter__ and __exit__, use the @contextmanager decorator from the contextlib module for a more concise and elegant solution. This is a pro-level technique for robust resource management. 🚀

Example:

import contextlib

# The verbose, class-based way to create a context manager
class DatabaseConnection:
    def __init__(self, db_name):
        self._db_name = db_name
        self._conn = None
        print(f"Initializing connection to {self._db_name}...")

    def __enter__(self):
        print("-> Entering context: Opening connection.")
        self._conn = f"CONNECTION_TO_{self._db_name}" # Simulate connection
        return self._conn

    def __exit__(self, exc_type, exc_val, exc_tb):
        print("<- Exiting context: Closing connection.")
        self._conn = None # Simulate closing

print("--- Class-Based Way ---")
with DatabaseConnection("users.db") as conn:
    print(f"   Performing operations with {conn}")


# The clean, Pythonic way using a generator and @contextmanager
@contextlib.contextmanager
def managed_database(db_name):
    print(f"Initializing connection to {db_name}...")
    conn = f"CONNECTION_TO_{db_name}"
    try:
        print("-> Entering context: Yielding connection.")
        yield conn # The code inside the 'with' block runs here
    finally:
        # This code is guaranteed to run, just like __exit__
        print("<- Exiting context: Closing connection in 'finally'.")
        conn = None

print("\n--- @contextmanager Way ---")
with managed_database("products.db") as conn:
    print(f"   Performing operations with {conn}")

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By: @DataScienceN ✨