🔥 Trending Repository: lobehub
📝 Denoscription: The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
🔗 Repository URL: https://github.com/lobehub/lobehub
🌐 Website: https://lobehub.com
📖 Readme: https://github.com/lobehub/lobehub#readme
📊 Statistics:
🌟 Stars: 70.7K stars
👀 Watchers: 285
🍴 Forks: 14.5K forks
💻 Programming Languages: TypeScript - HTML - JavaScript - Shell - Gherkin - MDX
🏷️ Related Topics:
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
🔗 Repository URL: https://github.com/lobehub/lobehub
🌐 Website: https://lobehub.com
📖 Readme: https://github.com/lobehub/lobehub#readme
📊 Statistics:
🌟 Stars: 70.7K stars
👀 Watchers: 285
🍴 Forks: 14.5K forks
💻 Programming Languages: TypeScript - HTML - JavaScript - Shell - Gherkin - MDX
🏷️ Related Topics:
#agent #ai #mcp #gemini #openai #gpt #knowledge_base #claude #chatgpt #deepseek #agent_collaboration #agent_harness
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
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🔥 Trending Repository: PS2Recomp
📝 Denoscription: Playstation 2 Static Recompiler & Runtime Tool to make native PC ports
🔗 Repository URL: https://github.com/ran-j/PS2Recomp
📖 Readme: https://github.com/ran-j/PS2Recomp#readme
📊 Statistics:
🌟 Stars: 1.2K stars
👀 Watchers: 52
🍴 Forks: 24 forks
💻 Programming Languages: C++
🏷️ Related Topics:
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: Playstation 2 Static Recompiler & Runtime Tool to make native PC ports
🔗 Repository URL: https://github.com/ran-j/PS2Recomp
📖 Readme: https://github.com/ran-j/PS2Recomp#readme
📊 Statistics:
🌟 Stars: 1.2K stars
👀 Watchers: 52
🍴 Forks: 24 forks
💻 Programming Languages: C++
🏷️ Related Topics:
#tool #reverse_engineering #ps2 #recompile #static_recompilation
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
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🔥 Trending Repository: BambuStudio
📝 Denoscription: PC Software for BambuLab and other 3D printers
🔗 Repository URL: https://github.com/bambulab/BambuStudio
📖 Readme: https://github.com/bambulab/BambuStudio#readme
📊 Statistics:
🌟 Stars: 3.7K stars
👀 Watchers: 62
🍴 Forks: 580 forks
💻 Programming Languages: C++ - C - JavaScript - HTML - Perl - CMake
🏷️ Related Topics: Not available
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: PC Software for BambuLab and other 3D printers
🔗 Repository URL: https://github.com/bambulab/BambuStudio
📖 Readme: https://github.com/bambulab/BambuStudio#readme
📊 Statistics:
🌟 Stars: 3.7K stars
👀 Watchers: 62
🍴 Forks: 580 forks
💻 Programming Languages: C++ - C - JavaScript - HTML - Perl - CMake
🏷️ Related Topics: Not available
==================================
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🔥 Trending Repository: Vision-Agents
📝 Denoscription: Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
🔗 Repository URL: https://github.com/GetStream/Vision-Agents
🌐 Website: https://visionagents.ai
📖 Readme: https://github.com/GetStream/Vision-Agents#readme
📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 43
🍴 Forks: 347 forks
💻 Programming Languages: Python
🏷️ Related Topics:
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
🔗 Repository URL: https://github.com/GetStream/Vision-Agents
🌐 Website: https://visionagents.ai
📖 Readme: https://github.com/GetStream/Vision-Agents#readme
📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 43
🍴 Forks: 347 forks
💻 Programming Languages: Python
🏷️ Related Topics:
#ai #realtime #tts #agents #stt #ai_agents #video_ai #voice_ai #vision_ai #agentic_ai #video_agents
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
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7 Golden Rules to Crack Data Science Interviews 🧑💻
1️⃣ Master the Fundamentals
⦁ Be clear on stats, ML algorithms, and probability
⦁ Brush up on SQL, Python, and data wrangling
2️⃣ Know Your Projects Deeply
⦁ Be ready to explain models, metrics, and business impact
⦁ Prepare for follow-up questions
3️⃣ Practice Case Studies & Product Thinking
⦁ Think beyond code — focus on solving real problems
⦁ Show how your solution helps the business
4️⃣ Explain Trade-offs
⦁ Why Random Forest vs. XGBoost?
⦁ Discuss bias-variance, precision-recall, etc.
5️⃣ Be Confident with Metrics
⦁ Accuracy isn’t enough — explain F1-score, ROC, AUC
⦁ Tie metrics to the business goal
6️⃣ Ask Clarifying Questions
⦁ Never rush into an answer
⦁ Clarify objective, constraints, and assumptions
7️⃣ Stay Updated & Curious
⦁ Follow latest tools (like LangChain, LLMs)
⦁ Share your learning journey on GitHub or blogs
1️⃣ Master the Fundamentals
⦁ Be clear on stats, ML algorithms, and probability
⦁ Brush up on SQL, Python, and data wrangling
2️⃣ Know Your Projects Deeply
⦁ Be ready to explain models, metrics, and business impact
⦁ Prepare for follow-up questions
3️⃣ Practice Case Studies & Product Thinking
⦁ Think beyond code — focus on solving real problems
⦁ Show how your solution helps the business
4️⃣ Explain Trade-offs
⦁ Why Random Forest vs. XGBoost?
⦁ Discuss bias-variance, precision-recall, etc.
5️⃣ Be Confident with Metrics
⦁ Accuracy isn’t enough — explain F1-score, ROC, AUC
⦁ Tie metrics to the business goal
6️⃣ Ask Clarifying Questions
⦁ Never rush into an answer
⦁ Clarify objective, constraints, and assumptions
7️⃣ Stay Updated & Curious
⦁ Follow latest tools (like LangChain, LLMs)
⦁ Share your learning journey on GitHub or blogs
❤2
🔥 Trending Repository: moltbot
📝 Denoscription: Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
🔗 Repository URL: https://github.com/moltbot/moltbot
🌐 Website: https://molt.bot
📖 Readme: https://github.com/moltbot/moltbot#readme
📊 Statistics:
🌟 Stars: 89.6K stars
👀 Watchers: 432
🍴 Forks: 12.2K forks
💻 Programming Languages: TypeScript - Swift - Kotlin - Shell - CSS - JavaScript
🏷️ Related Topics:
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
🔗 Repository URL: https://github.com/moltbot/moltbot
🌐 Website: https://molt.bot
📖 Readme: https://github.com/moltbot/moltbot#readme
📊 Statistics:
🌟 Stars: 89.6K stars
👀 Watchers: 432
🍴 Forks: 12.2K forks
💻 Programming Languages: TypeScript - Swift - Kotlin - Shell - CSS - JavaScript
🏷️ Related Topics:
#ai #personal #assistant #own_your_data #crustacean #clawd #moltbot #molty
==================================
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🔥 Trending Repository: ext-apps
📝 Denoscription: Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
🔗 Repository URL: https://github.com/modelcontextprotocol/ext-apps
🌐 Website: https://modelcontextprotocol.github.io/ext-apps/
📖 Readme: https://github.com/modelcontextprotocol/ext-apps#readme
📊 Statistics:
🌟 Stars: 671 stars
👀 Watchers: 17
🍴 Forks: 95 forks
💻 Programming Languages: TypeScript - MDX - JavaScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
🔗 Repository URL: https://github.com/modelcontextprotocol/ext-apps
🌐 Website: https://modelcontextprotocol.github.io/ext-apps/
📖 Readme: https://github.com/modelcontextprotocol/ext-apps#readme
📊 Statistics:
🌟 Stars: 671 stars
👀 Watchers: 17
🍴 Forks: 95 forks
💻 Programming Languages: TypeScript - MDX - JavaScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
Forwarded from Machine Learning with Python
ML engineers, take note: structured ML reference guide
Link: https://ml-cheatsheet.readthedocs.io/en/latest/
There are no courses, no redundant theory, and no lengthy lectures here, but there are clear formulas, algorithms, the logic of ML pipelines, and a neatly structured knowledge base.
👉 @codeprogrammer
Link: https://ml-cheatsheet.readthedocs.io/en/latest/
There are no courses, no redundant theory, and no lengthy lectures here, but there are clear formulas, algorithms, the logic of ML pipelines, and a neatly structured knowledge base.
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🔥 Trending Repository: opencode-anthropic-auth
📝 Denoscription: No denoscription available
🔗 Repository URL: https://github.com/anomalyco/opencode-anthropic-auth
📖 Readme: https://github.com/anomalyco/opencode-anthropic-auth#readme
📊 Statistics:
🌟 Stars: 225 stars
👀 Watchers: 14
🍴 Forks: 49 forks
💻 Programming Languages: JavaScript - TypeScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: No denoscription available
🔗 Repository URL: https://github.com/anomalyco/opencode-anthropic-auth
📖 Readme: https://github.com/anomalyco/opencode-anthropic-auth#readme
📊 Statistics:
🌟 Stars: 225 stars
👀 Watchers: 14
🍴 Forks: 49 forks
💻 Programming Languages: JavaScript - TypeScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: NewPipe
📝 Denoscription: A libre lightweight streaming front-end for Android.
🔗 Repository URL: https://github.com/TeamNewPipe/NewPipe
🌐 Website: https://newpipe.net
📖 Readme: https://github.com/TeamNewPipe/NewPipe#readme
📊 Statistics:
🌟 Stars: 36.7K stars
👀 Watchers: 613
🍴 Forks: 3.4K forks
💻 Programming Languages: Java - Kotlin - HTML
🏷️ Related Topics:
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: A libre lightweight streaming front-end for Android.
🔗 Repository URL: https://github.com/TeamNewPipe/NewPipe
🌐 Website: https://newpipe.net
📖 Readme: https://github.com/TeamNewPipe/NewPipe#readme
📊 Statistics:
🌟 Stars: 36.7K stars
👀 Watchers: 613
🍴 Forks: 3.4K forks
💻 Programming Languages: Java - Kotlin - HTML
🏷️ Related Topics:
#android #video #translation #soundcloud #watch #youtube_video #bandcamp #download_videos #newpipe #4k #peertube
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
🔥 Trending Repository: playwright-cli
📝 Denoscription: CLI for common Playwright actions. Record and generate Playwright code, inspect selectors and take screenshots.
🔗 Repository URL: https://github.com/microsoft/playwright-cli
🌐 Website: https://playwright.dev
📖 Readme: https://github.com/microsoft/playwright-cli#readme
📊 Statistics:
🌟 Stars: 1.6K stars
👀 Watchers: 22
🍴 Forks: 62 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: CLI for common Playwright actions. Record and generate Playwright code, inspect selectors and take screenshots.
🔗 Repository URL: https://github.com/microsoft/playwright-cli
🌐 Website: https://playwright.dev
📖 Readme: https://github.com/microsoft/playwright-cli#readme
📊 Statistics:
🌟 Stars: 1.6K stars
👀 Watchers: 22
🍴 Forks: 62 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#playwright
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
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🔥 Trending Repository: openclaw
📝 Denoscription: Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
🔗 Repository URL: https://github.com/openclaw/openclaw
🌐 Website: https://openclaw.ai
📖 Readme: https://github.com/openclaw/openclaw#readme
📊 Statistics:
🌟 Stars: 106K stars
👀 Watchers: 506
🍴 Forks: 15K forks
💻 Programming Languages: TypeScript - Swift - Kotlin - Shell - CSS - JavaScript
🏷️ Related Topics:
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
📝 Denoscription: Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
🔗 Repository URL: https://github.com/openclaw/openclaw
🌐 Website: https://openclaw.ai
📖 Readme: https://github.com/openclaw/openclaw#readme
📊 Statistics:
🌟 Stars: 106K stars
👀 Watchers: 506
🍴 Forks: 15K forks
💻 Programming Languages: TypeScript - Swift - Kotlin - Shell - CSS - JavaScript
🏷️ Related Topics:
#ai #personal #assistant #own_your_data #crustacean #molty #openclaw
==================================
🧠 By: https://news.1rj.ru/str/DataScienceM
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LandingAI released a free course on Document AI. It teaches how to build document processing pipelines that extract text, tables, charts, and forms without losing the context of the markup.
The problem with classic OCR is that it "extracts letters", but breaks the meaning:
- tables lose their structure (including merged cells)
- the connections "chart⬅️ ➡️ signature" fall apart
- the reading order in multi-column becomes a mess
The course shows how to build an agent-workflow that reads documents closer to how a human does it, through Agentic Document Extraction (ADE).
What's inside:
- why regular OCR fails on complex documents
- how layout detection + correct reading order preserve the structure
- how to parse PDF into Markdown/JSON and not lose the layout
- how to collect RAG with ADE and vector databases
- how to deploy event-driven document pipelines on AWS
3 hours, 6 practical code examples. Completely free.
https://www.deeplearning.ai/short-courses/document-ai-from-ocr-to-agentic-doc-extraction/
👉 @DataScienceN
The problem with classic OCR is that it "extracts letters", but breaks the meaning:
- tables lose their structure (including merged cells)
- the connections "chart
- the reading order in multi-column becomes a mess
The course shows how to build an agent-workflow that reads documents closer to how a human does it, through Agentic Document Extraction (ADE).
What's inside:
- why regular OCR fails on complex documents
- how layout detection + correct reading order preserve the structure
- how to parse PDF into Markdown/JSON and not lose the layout
- how to collect RAG with ADE and vector databases
- how to deploy event-driven document pipelines on AWS
3 hours, 6 practical code examples. Completely free.
https://www.deeplearning.ai/short-courses/document-ai-from-ocr-to-agentic-doc-extraction/
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