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Deepnote has released a new open notebook format that solves the old problems of Jupyter.
Instead of noisy JSON, now YAML with proper git diff. Support for Python and SQL in one file, shared project settings, new blocks for charts and SQL, proper teamwork and collaborative editing. Conversion from .ipynb in one step. Everything is open-source.💃
Instead of noisy JSON, now YAML with proper git diff. Support for Python and SQL in one file, shared project settings, new blocks for charts and SQL, proper teamwork and collaborative editing. Conversion from .ipynb in one step. Everything is open-source.
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Data Science Jupyter Notebooks
💸 PacketSDK--A New Way To Make Revenue From Your Apps Regardless of whether your app is on desktop, mobile, TV, or Unity platforms, no matter which app monetization tools you’re using, PacketSDK can bring you additional revenue! ● Working Principle: Convert…
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I used it and found its earnings amazing.
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Demo of Yann LeCun's convolutional neural network from 1989. Modern CNNs that we still use today are based on it.
It's amazing how far we've come since then🌟
👉 https://t.me/DataScienceN
It's amazing how far we've come since then
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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
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
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🌆 RMBG
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🔗 Links:
https://github.com/Bria-AI/RMBG-2.0/
🏷️ Tags: #ai #imageeditor
https://t.me/DataScienceN⚡️
🛠️ RMBG is a new AI background removal model that significantly outperforms its counterparts.
https://github.com/Bria-AI/RMBG-2.0/
🏷️ Tags: #ai #imageeditor
https://t.me/DataScienceN
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https://github.com/Canner/WrenAI
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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
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
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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:
==================================
🧠 By: https://t.me/DataScienceM
📝 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
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Sometimes you get lost in a large Markdown file? That won't happen anymore.
treemd is an interactive navigator for Markdown with a header tree that can be collapsed.
Read Markdown like code.
Two windows, vim-style navigation, live search, and synchronized scrolling.
🦀 Written in Rust, built on top of ratatui
GitHub: https://github.com/Epistates/treemd
👉 https://t.me/DataScienceN
treemd is an interactive navigator for Markdown with a header tree that can be collapsed.
Read Markdown like code.
Two windows, vim-style navigation, live search, and synchronized scrolling.
GitHub: https://github.com/Epistates/treemd
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🔥 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:
==================================
🧠 By: https://t.me/DataScienceM
📝 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
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#ruby #rails #kanban #hotwire
==================================
🧠 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
📝 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: 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
📝 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
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==================================
🧠 By: https://t.me/DataScienceM
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🔥 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
📝 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
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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:
==================================
🧠 By: https://t.me/DataScienceM
📝 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: 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:
==================================
🧠 By: https://t.me/DataScienceM
📝 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
==================================
🧠 By: https://t.me/DataScienceM