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Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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🔥 Trending Repository: browser-use

📝 Denoscription: 🌐 Make websites accessible for AI agents. Automate tasks online with ease.

🔗 Repository URL: https://github.com/browser-use/browser-use

🌐 Website: https://browser-use.com

📖 Readme: https://github.com/browser-use/browser-use#readme

📊 Statistics:
🌟 Stars: 76.2K stars
👀 Watchers: 404
🍴 Forks: 9.1K forks

💻 Programming Languages: Python

🏷️ Related Topics:
#python #browser_automation #ai_agents #playwright #ai_tools #llm #browser_use


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🧠 By: https://news.1rj.ru/str/DataScienceM
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🔥 Trending Repository: UltraRAG

📝 Denoscription: UltraRAG v3: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

🔗 Repository URL: https://github.com/OpenBMB/UltraRAG

🌐 Website: https://ultrarag.openbmb.cn/

📖 Readme: https://github.com/OpenBMB/UltraRAG#readme

📊 Statistics:
🌟 Stars: 2.7K stars
👀 Watchers: 27
🍴 Forks: 231 forks

💻 Programming Languages: Python - JavaScript - CSS - HTML - Jinja - Shell - Dockerfile

🏷️ Related Topics:
#flask #demo #ui #mcp #openai #easy #gpt #embedding #vlm #multimodal #rag #sentence_transformers #huggingface_transformers #llm #vllm #qwen #deepseek


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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: airllm

📝 Denoscription: AirLLM 70B inference with single 4GB GPU

🔗 Repository URL: https://github.com/lyogavin/airllm

📖 Readme: https://github.com/lyogavin/airllm#readme

📊 Statistics:
🌟 Stars: 8.4K stars
👀 Watchers: 150
🍴 Forks: 771 forks

💻 Programming Languages: Jupyter Notebook - Python - Shell

🏷️ Related Topics:
#open_source #chinese_nlp #llama #lora #instruction_set #finetune #open_source_models #open_models #llm #generative_ai #instruct_gpt #qlora #chinese_llm


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🧠 By: https://news.1rj.ru/str/DataScienceM
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These Google Colab-notebooks help to implement all machine learning algorithms from scratch 🤯

Repo: https://udlbook.github.io/udlbook/


👉 @codeprogrammer
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🔥 Trending Repository: mlx-audio

📝 Denoscription: A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

🔗 Repository URL: https://github.com/Blaizzy/mlx-audio

📖 Readme: https://github.com/Blaizzy/mlx-audio#readme

📊 Statistics:
🌟 Stars: 3.4K stars
👀 Watchers: 32
🍴 Forks: 285 forks

💻 Programming Languages: Python - TypeScript

🏷️ Related Topics:
#text_to_speech #transformers #speech_synthesis #speech_recognition #speech_to_text #audio_processing #mlx #multimodal #apple_silicon


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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: res-downloader

📝 Denoscription: 视频号、小程序、抖音、快手、小红书、直播流、m3u8、酷狗、QQ音乐等常见网络资源下载!

🔗 Repository URL: https://github.com/putyy/res-downloader

🌐 Website: https://github.com/putyy/res-downloader

📖 Readme: https://github.com/putyy/res-downloader#readme

📊 Statistics:
🌟 Stars: 14.2K stars
👀 Watchers: 85
🍴 Forks: 1.8K forks

💻 Programming Languages: Go - Vue - NSIS - TypeScript - JavaScript - CSS - HTML

🏷️ Related Topics:
#wechat #kuaishou #douyin #xiaohongshu #wechat_video #res_downloader


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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: FinRobot

📝 Denoscription: FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀

🔗 Repository URL: https://github.com/AI4Finance-Foundation/FinRobot

🌐 Website: https://finrobot.ai

📖 Readme: https://github.com/AI4Finance-Foundation/FinRobot#readme

📊 Statistics:
🌟 Stars: 5K stars
👀 Watchers: 73
🍴 Forks: 925 forks

💻 Programming Languages: Jupyter Notebook - Python

🏷️ Related Topics:
#finance #multimodal_deep_learning #robo_advisor #large_language_models #prompt_engineering #chatgpt #fingpt #aiagent


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🧠 By: https://news.1rj.ru/str/DataScienceM
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Ant AI Automated Sales Robot is an intelligent robot focused on automating lead generation and sales conversion. Its core function simulates human conversation, achieving end-to-end business conversion and easily generating revenue without requiring significant time investment.

I. Core Functions: Fully Automated "Lead Generation - Interaction - Conversion"

Precise Lead Generation and Human-like Communication: Ant AI is trained on over 20 million real social chat records, enabling it to autonomously identify target customers and build trust through natural conversation, requiring no human intervention.

High Conversion Rate Across Multiple Scenarios: Ant AI intelligently recommends high-conversion-rate products based on chat content, guiding customers to complete purchases through platforms such as iFood, Shopee, and Amazon. It also supports other transaction scenarios such as movie ticket purchases and utility bill payments.

24/7 Operation: Ant AI continuously searches for customers and recommends products. You only need to monitor progress via your mobile phone, requiring no additional management time.

II. Your Profit Guarantee: Low Risk, High Transparency, Zero Inventory Pressure, Stable Commission Sharing

We have established partnerships with platforms such as Shopee and Amazon, which directly provide abundant product sourcing. You don't need to worry about inventory or logistics. After each successful order, the company will charge the merchant a commission and share all profits with you. Earnings are predictable and withdrawals are convenient. Member data shows that each bot can generate $30 to $100 in profit per day. Commission income can be withdrawn to your account at any time, and the settlement process is transparent and open.

Low Initial Investment Risk. Bot development and testing incur significant costs. While rental fees are required, in the early stages of the project, the company prioritizes market expansion and brand awareness over short-term profits.

If you are interested, please join my Telegram group for more information and leave a message: https://news.1rj.ru/str/+lVKtdaI5vcQ1ZDA1
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🔥 Trending Repository: czkawka

📝 Denoscription: Multi functional app to find duplicates, empty folders, similar images etc.

🔗 Repository URL: https://github.com/qarmin/czkawka

📖 Readme: https://github.com/qarmin/czkawka#readme

📊 Statistics:
🌟 Stars: 28.3K stars
👀 Watchers: 147
🍴 Forks: 925 forks

💻 Programming Languages: Rust - Fluent - Slint - Python - Just - Nix

🏷️ Related Topics:
#rust #gtk_rs #duplicates #cleaner #multiplatform #similar_images #similar_music #similar_videos


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🧠 By: https://news.1rj.ru/str/DataScienceM
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🔥 Trending Repository: conduit

📝 Denoscription: Conduit React Native app

🔗 Repository URL: https://github.com/Psiphon-Inc/conduit

📖 Readme: https://github.com/Psiphon-Inc/conduit#readme

📊 Statistics:
🌟 Stars: 78 stars
👀 Watchers: 8
🍴 Forks: 37 forks

💻 Programming Languages: TypeScript - Java - Swift - Go - JavaScript - Makefile

🏷️ Related Topics: Not available

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🧠 By: https://news.1rj.ru/str/DataScienceM
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🔥 Trending Repository: video2x

📝 Denoscription: A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

🔗 Repository URL: https://github.com/k4yt3x/video2x

🌐 Website: https://docs.video2x.org

📖 Readme: https://github.com/k4yt3x/video2x#readme

📊 Statistics:
🌟 Stars: 17.9K stars
👀 Watchers: 173
🍴 Forks: 1.6K forks

💻 Programming Languages: C++ - CMake - Just - Python - Dockerfile - Shell - C

🏷️ Related Topics:
#machine_learning #vulkan #neural_networks #frame_interpolation #anime4k #rife #upscale_video #realcugan #realesrgan #super_resoluion


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🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: ai-data-science-team

📝 Denoscription: An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

🔗 Repository URL: https://github.com/business-science/ai-data-science-team

📖 Readme: https://github.com/business-science/ai-data-science-team#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 78
🍴 Forks: 741 forks

💻 Programming Languages: Python

🏷️ Related Topics:
#data_science #machine_learning #ai #openai #gpt #copilot #agents #data_scientist #ml_engineering #ai_engineer #ai_engineering #ml_engineer #generative_ai


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🧠 By: https://news.1rj.ru/str/DataScienceM
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📦 PyInstaller: packaging a console application for a 'bare' server

Do you want to deploy your crappy utility on a production server where there's not even X11?
A proper build with PyInstaller will save you from dancing with the devil.

1. The essence of the problem

Building for Windows/Mac with a GUI is easy. But when building for Linux without a graphical environment, PyInstaller might drag in unnecessary dependencies, and your binary won't run.

2. The key command

pyinstaller --onefile --clean --noconsole --noupx your_noscript.py


Pay special attention to the flags:


--noconsole - removes the console for GUI, do not use it for CLI.

--noupx - disables UPX (often a problem on bare servers).

--clean - cleans the cache between builds.

3. Why this is needed


🟢Background daemons and system services

🟢Automation in CI/CD pipelines

绿色Utilities for administration

绿色Microservices in containers

绿色Scripts on 'bare' VPS


4. Important nuances


🟡All dependencies must be explicitly specified in requirements.txt or pyproject.toml.

🟡Test the build in a minimalist Docker image (for example, python:3.11-slim).

🟡Dynamic imports may not be found - specify hidden imports via --hidden-import.


Is it useful?

❤️ - Yes
👍 - I already use it

👩‍💻 @DataSciencen
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