⚡️ Alibaba DAMO Academy (the laboratory that created Qwen) has open-sourced AgentScope - a Python framework for building systems from multiple AI agents.
How it differs from others:
You describe the task - the system builds the architecture itself. The planner, researcher, programmer, critic - each agent receives its own tools, memory, and reasoning logic.
They work in tandem and return the finished result.
What's included out of the box:
• A visual agent constructor, you design the system before writing code
• Support for MCP tools - you can directly connect any external services
• Built-in memory - agents remember the context, decisions, and history between sessions
• RAG pipeline - you can connect your documents and knowledge bases
• Reasoning modules - agents plan, reflect, and correct errors without human intervention
This is a framework where the agent is the primary unit of thinking from the very beginning of the design.
License: Apache 2.0. Completely free.
https://github.com/agentscope-ai/agentscope
How it differs from others:
You describe the task - the system builds the architecture itself. The planner, researcher, programmer, critic - each agent receives its own tools, memory, and reasoning logic.
They work in tandem and return the finished result.
What's included out of the box:
• A visual agent constructor, you design the system before writing code
• Support for MCP tools - you can directly connect any external services
• Built-in memory - agents remember the context, decisions, and history between sessions
• RAG pipeline - you can connect your documents and knowledge bases
• Reasoning modules - agents plan, reflect, and correct errors without human intervention
This is a framework where the agent is the primary unit of thinking from the very beginning of the design.
License: Apache 2.0. Completely free.
https://github.com/agentscope-ai/agentscope
❤1
🔥 dots.ocr-1.5 — An OCR model with 3B parameters from Rednote-hilab.
SOTA for multilingual document parsing — supports almost any writing system.
📊 Elo 1089 on olmOCR-Bench and 1157 on XDocParse — higher than GLM-OCR and PaddleOCR-VL-1.5
📄 On OmniDocBench (text edit 0.031), it outperforms Qwen3-VL-235B (0.069) and Gemini 2.5 Pro (0.075)
🎨 Can generate SVG code for graphs, diagrams, and chemical formulas
🌐 Supports web page parsing, text recognition in scenes, and object counting
⚡ Works via vLLM and runs on a single GPU
🤖 Model: https://modelscope.cn/models/rednote-hilab/dots.ocr-1.5
🔗 GitHub: https://github.com/rednote-hilab/dots.ocr
🎠 Demo: https://dotsocr.xiaohongshu.com
SOTA for multilingual document parsing — supports almost any writing system.
📊 Elo 1089 on olmOCR-Bench and 1157 on XDocParse — higher than GLM-OCR and PaddleOCR-VL-1.5
📄 On OmniDocBench (text edit 0.031), it outperforms Qwen3-VL-235B (0.069) and Gemini 2.5 Pro (0.075)
🎨 Can generate SVG code for graphs, diagrams, and chemical formulas
🌐 Supports web page parsing, text recognition in scenes, and object counting
⚡ Works via vLLM and runs on a single GPU
🤖 Model: https://modelscope.cn/models/rednote-hilab/dots.ocr-1.5
🔗 GitHub: https://github.com/rednote-hilab/dots.ocr
🎠 Demo: https://dotsocr.xiaohongshu.com
❤1
Forwarded from Machine Learning with Python
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Forwarded from Machine Learning with Python
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🔥 Trending Repository: GLM-OCR
📝 Description: GLM-OCR: Accurate × Fast × Comprehensive
🔗 Repository URL: https://github.com/zai-org/GLM-OCR
📖 Readme: https://github.com/zai-org/GLM-OCR#readme
📊 Statistics:
🌟 Stars: 5.1k
👀 Watchers: 21
🍴 Forks: 449
💻 Programming Languages: Python - TypeScript - CSS
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: GLM-OCR: Accurate × Fast × Comprehensive
🔗 Repository URL: https://github.com/zai-org/GLM-OCR
📖 Readme: https://github.com/zai-org/GLM-OCR#readme
📊 Statistics:
🌟 Stars: 5.1k
👀 Watchers: 21
🍴 Forks: 449
💻 Programming Languages: Python - TypeScript - CSS
🏷️ Related Topics:
#ocr #glm #image2text
==================================
🧠 By: https://t.me/DataScienceM
❤2
🔥 Trending Repository: oh-my-codex
📝 Description: OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
🔗 Repository URL: https://github.com/Yeachan-Heo/oh-my-codex
📖 Readme: https://github.com/Yeachan-Heo/oh-my-codex#readme
📊 Statistics:
🌟 Stars: 10.5k
👀 Watchers: 34
🍴 Forks: 1k
💻 Programming Languages: TypeScript - Rust - JavaScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
🔗 Repository URL: https://github.com/Yeachan-Heo/oh-my-codex
📖 Readme: https://github.com/Yeachan-Heo/oh-my-codex#readme
📊 Statistics:
🌟 Stars: 10.5k
👀 Watchers: 34
🍴 Forks: 1k
💻 Programming Languages: TypeScript - Rust - JavaScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
❤2
🔥 Trending Repository: openscreen
📝 Description: Create stunning demos for free. Open-source, no subscriptions, no watermarks, and free for commercial use. An alternative to Screen Studio.
🔗 Repository URL: https://github.com/siddharthvaddem/openscreen
🌐 Website: https://openscreen.vercel.app
📖 Readme: https://github.com/siddharthvaddem/openscreen#readme
📊 Statistics:
🌟 Stars: 14.9k
👀 Watchers: 29
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💻 Programming Languages: TypeScript - CSS
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Create stunning demos for free. Open-source, no subscriptions, no watermarks, and free for commercial use. An alternative to Screen Studio.
🔗 Repository URL: https://github.com/siddharthvaddem/openscreen
🌐 Website: https://openscreen.vercel.app
📖 Readme: https://github.com/siddharthvaddem/openscreen#readme
📊 Statistics:
🌟 Stars: 14.9k
👀 Watchers: 29
🍴 Forks: 1k
💻 Programming Languages: TypeScript - CSS
🏷️ Related Topics:
#electron #open_source #screen_recorder #screen_capture #pixijs
==================================
🧠 By: https://t.me/DataScienceM
❤1
Forwarded from Learn Python Coding
This channels is for Programmers, Coders, Software Engineers.
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🔥 Trending Repository: awesome-multimodal-in-medical-imaging
📝 Description: A collection of resources on applications of multi-modal learning in medical imaging.
🔗 Repository URL: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging
📖 Readme: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging#readme
📊 Statistics:
🌟 Stars: 937
👀 Watchers: 22
🍴 Forks: 80
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceN
📝 Description: A collection of resources on applications of multi-modal learning in medical imaging.
🔗 Repository URL: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging
📖 Readme: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging#readme
📊 Statistics:
🌟 Stars: 937
👀 Watchers: 22
🍴 Forks: 80
💻 Programming Languages: Not available
🏷️ Related Topics:
#medical_imaging #multimodal_learning #visual_question_answering #multimodal_deep_learning #large_language_models #medical_report_generation #multimodal_large_language_models #large_multimodal_models
==================================
🧠 By: https://t.me/DataScienceN
❤1
🔥 Trending Repository: fff.nvim
📝 Description: The fastest and the most accurate file search toolkit for AI agents, Neovim, Rust, C, and NodeJS
🔗 Repository URL: https://github.com/dmtrKovalenko/fff.nvim
🌐 Website: https://fff.dmtrkovalenko.dev/
📖 Readme: https://github.com/dmtrKovalenko/fff.nvim#readme
📊 Statistics:
🌟 Stars:
👀 Watchers: 3
🍴 Forks: 117
💻 Programming Languages: Rust - Lua - TypeScript - Shell - C - JavaScript
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: The fastest and the most accurate file search toolkit for AI agents, Neovim, Rust, C, and NodeJS
🔗 Repository URL: https://github.com/dmtrKovalenko/fff.nvim
🌐 Website: https://fff.dmtrkovalenko.dev/
📖 Readme: https://github.com/dmtrKovalenko/fff.nvim#readme
📊 Statistics:
🌟 Stars:
👀 Watchers: 3
🍴 Forks: 117
💻 Programming Languages: Rust - Lua - TypeScript - Shell - C - JavaScript
🏷️ Related Topics:
#rust #lua #neovim #neovim_plugin #filesearch
==================================
🧠 By: https://t.me/DataScienceM
❤1
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🔥 Trending Repository: mlx-vlm
📝 Description: MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
🔗 Repository URL: https://github.com/Blaizzy/mlx-vlm
📖 Readme: https://github.com/Blaizzy/mlx-vlm#readme
📊 Statistics:
🌟 Stars: 3.3k
👀 Watchers: 28
🍴 Forks: 369
💻 Programming Languages: Python
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
🔗 Repository URL: https://github.com/Blaizzy/mlx-vlm
📖 Readme: https://github.com/Blaizzy/mlx-vlm#readme
📊 Statistics:
🌟 Stars: 3.3k
👀 Watchers: 28
🍴 Forks: 369
💻 Programming Languages: Python
🏷️ Related Topics:
#mlx #vision_framework #apple_silicon #vision_transformer #llm #vision_language_model #llava #local_ai #idefics #florence2 #paligemma #pixtral #molmo
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: tdesktop
📝 Description: Telegram Desktop messaging app
🔗 Repository URL: https://github.com/telegramdesktop/tdesktop
🌐 Website: https://desktop.telegram.org/
📖 Readme: https://github.com/telegramdesktop/tdesktop#readme
📊 Statistics:
🌟 Stars: 30.6k
👀 Watchers: 892
🍴 Forks: 6.5k
💻 Programming Languages: C++ - Objective-C++ - CMake - Python - CSS - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Telegram Desktop messaging app
🔗 Repository URL: https://github.com/telegramdesktop/tdesktop
🌐 Website: https://desktop.telegram.org/
📖 Readme: https://github.com/telegramdesktop/tdesktop#readme
📊 Statistics:
🌟 Stars: 30.6k
👀 Watchers: 892
🍴 Forks: 6.5k
💻 Programming Languages: C++ - Objective-C++ - CMake - Python - CSS - Shell
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#multi_platform #telegram #messenger #telegram_desktop #telegram_solution
==================================
🧠 By: https://t.me/DataScienceM
Forwarded from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
❤1
🔥 Trending Repository: gallery
📝 Description: A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
🔗 Repository URL: https://github.com/google-ai-edge/gallery
📖 Readme: https://github.com/google-ai-edge/gallery#readme
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🌟 Stars: 16.3k
👀 Watchers: 173
🍴 Forks: 1.5k
💻 Programming Languages: Kotlin - HTML
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
🔗 Repository URL: https://github.com/google-ai-edge/gallery
📖 Readme: https://github.com/google-ai-edge/gallery#readme
📊 Statistics:
🌟 Stars: 16.3k
👀 Watchers: 173
🍴 Forks: 1.5k
💻 Programming Languages: Kotlin - HTML
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: LiteRT-LM
📝 Description: No description available
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📖 Readme: https://github.com/google-ai-edge/LiteRT-LM#readme
📊 Statistics:
🌟 Stars: 1.3k
👀 Watchers: 41
🍴 Forks: 171
💻 Programming Languages: C++ - CMake - Starlark - Rust - Python - Kotlin
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: No description available
🔗 Repository URL: https://github.com/google-ai-edge/LiteRT-LM
📖 Readme: https://github.com/google-ai-edge/LiteRT-LM#readme
📊 Statistics:
🌟 Stars: 1.3k
👀 Watchers: 41
🍴 Forks: 171
💻 Programming Languages: C++ - CMake - Starlark - Rust - Python - Kotlin
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
❤1
🔥 Trending Repository: qmd
📝 Description: mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
🔗 Repository URL: https://github.com/tobi/qmd
📖 Readme: https://github.com/tobi/qmd#readme
📊 Statistics:
🌟 Stars: 18.3k
👀 Watchers: 74
🍴 Forks: 1.1k
💻 Programming Languages: TypeScript - Python - Shell
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
🔗 Repository URL: https://github.com/tobi/qmd
📖 Readme: https://github.com/tobi/qmd#readme
📊 Statistics:
🌟 Stars: 18.3k
👀 Watchers: 74
🍴 Forks: 1.1k
💻 Programming Languages: TypeScript - Python - Shell
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: ollama
📝 Description: Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
🔗 Repository URL: https://github.com/ollama/ollama
🌐 Website: https://ollama.com
📖 Readme: https://github.com/ollama/ollama#readme
📊 Statistics:
🌟 Stars: 167k
👀 Watchers: 924
🍴 Forks: 15.4k
💻 Programming Languages: Go - C - TypeScript - C++ - Objective-C - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
🔗 Repository URL: https://github.com/ollama/ollama
🌐 Website: https://ollama.com
📖 Readme: https://github.com/ollama/ollama#readme
📊 Statistics:
🌟 Stars: 167k
👀 Watchers: 924
🍴 Forks: 15.4k
💻 Programming Languages: Go - C - TypeScript - C++ - Objective-C - Shell
🏷️ Related Topics:
#go #golang #llama #glm #minimax #gemma #mistral #llm #llms #ollama #qwen #deepseek #llama3 #gemma3 #gpt_oss
==================================
🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: personaplex
📝 Description: PersonaPlex code.
🔗 Repository URL: https://github.com/NVIDIA/personaplex
📖 Readme: https://github.com/NVIDIA/personaplex#readme
📊 Statistics:
🌟 Stars: 7k
👀 Watchers: 83
🍴 Forks: 1k
💻 Programming Languages: Python - TypeScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
📝 Description: PersonaPlex code.
🔗 Repository URL: https://github.com/NVIDIA/personaplex
📖 Readme: https://github.com/NVIDIA/personaplex#readme
📊 Statistics:
🌟 Stars: 7k
👀 Watchers: 83
🍴 Forks: 1k
💻 Programming Languages: Python - TypeScript
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.me/DataScienceM
🚀 The Fastest-Growing GitHub Repositories of the Week
The week was characterized by significant developments in voice AI and autonomous agents.
1. https://github.com/microsoft/VibeVoice — An open-source voice AI solution enabling voice cloning and transcription of up to 60 minutes in a single pass.
2. https://github.com/bytedance/deer-flow — ByteDance's SuperAgent, capable of independently exploring, coding, and executing tasks.
3. https://github.com/NousResearch/hermes-agent — An autonomous agent featuring memory capabilities that evolve over time.
4. https://github.com/mvanhorn/last30days-skill — An agent designed to search for information across Reddit, X, YouTube, and Hacker News.
5. https://github.com/hacksider/Deep-Live-Cam — A real-time face-swapping tool based on a single reference image.
6. https://github.com/TauricResearch/TradingAgents — A multi-agent trading system leveraging large language models (LLMs).
7. https://github.com/hesreallyhim/awesome-claude-code — A curated collection of top skills and plugins for Claude Code.
8. https://github.com/google-research/timesfm — A foundation model for time series analysis offering zero-shot forecasting capabilities.
9. https://github.com/datalab-to/chandra — Optical Character Recognition (OCR) optimized for complex tables and handwritten text.
10. https://github.com/SakanaAI/AI-Scientist-v2 — A system for automating scientific discoveries through autonomous agents. 🤖
The week was characterized by significant developments in voice AI and autonomous agents.
1. https://github.com/microsoft/VibeVoice — An open-source voice AI solution enabling voice cloning and transcription of up to 60 minutes in a single pass.
2. https://github.com/bytedance/deer-flow — ByteDance's SuperAgent, capable of independently exploring, coding, and executing tasks.
3. https://github.com/NousResearch/hermes-agent — An autonomous agent featuring memory capabilities that evolve over time.
4. https://github.com/mvanhorn/last30days-skill — An agent designed to search for information across Reddit, X, YouTube, and Hacker News.
5. https://github.com/hacksider/Deep-Live-Cam — A real-time face-swapping tool based on a single reference image.
6. https://github.com/TauricResearch/TradingAgents — A multi-agent trading system leveraging large language models (LLMs).
7. https://github.com/hesreallyhim/awesome-claude-code — A curated collection of top skills and plugins for Claude Code.
8. https://github.com/google-research/timesfm — A foundation model for time series analysis offering zero-shot forecasting capabilities.
9. https://github.com/datalab-to/chandra — Optical Character Recognition (OCR) optimized for complex tables and handwritten text.
10. https://github.com/SakanaAI/AI-Scientist-v2 — A system for automating scientific discoveries through autonomous agents. 🤖
❤4