Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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πŸ”₯ Trending Repository: bevy

πŸ“ Description: A refreshingly simple data-driven game engine built in Rust

πŸ”— Repository URL: https://github.com/bevyengine/bevy

🌐 Website: https://bevy.org

πŸ“– Readme: https://github.com/bevyengine/bevy#readme

πŸ“Š Statistics:
🌟 Stars: 41.3K stars
πŸ‘€ Watchers: 305
🍴 Forks: 4.1K forks

πŸ’» Programming Languages: Rust - WGSL - Smarty - HTML - GLSL - Mermaid

🏷️ Related Topics:
#rust #open_source #gamedev #game_engine #game_development #bevy


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🧠 By: https://t.iss.one/DataScienceM
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πŸ”₯ Trending Repository: paperless-ngx

πŸ“ Description: A community-supported supercharged document management system: scan, index and archive all your documents

πŸ”— Repository URL: https://github.com/paperless-ngx/paperless-ngx

🌐 Website: https://docs.paperless-ngx.com/

πŸ“– Readme: https://github.com/paperless-ngx/paperless-ngx#readme

πŸ“Š Statistics:
🌟 Stars: 31.2K stars
πŸ‘€ Watchers: 131
🍴 Forks: 1.9K forks

πŸ’» Programming Languages: Python - TypeScript - HTML - SCSS - Dockerfile - Shell

🏷️ Related Topics:
#pdf #machine_learning #django #angular #ocr #archiving #dms #document_management #optical_character_recognition #document_management_system


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: comprehensive-rust

πŸ“ Description: This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

πŸ”— Repository URL: https://github.com/google/comprehensive-rust

🌐 Website: https://google.github.io/comprehensive-rust/

πŸ“– Readme: https://github.com/google/comprehensive-rust#readme

πŸ“Š Statistics:
🌟 Stars: 30.8K stars
πŸ‘€ Watchers: 149
🍴 Forks: 1.8K forks

πŸ’» Programming Languages: Rust - JavaScript - TypeScript - Handlebars - Assembly - Shell

🏷️ Related Topics:
#android #training #rust #classroom #google #course #guide #training_materials


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🧠 By: https://t.iss.one/DataScienceM
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Google has updated its AI service NotebookLM, and this could really revolutionize online education.

Previously, the tool could create text summaries and podcast lessons from documents and links. Now there is a new feature β€” turning an article or documentation into a full video analysis. 😦

In the demo, Google showed how a regular article about JavaScript functions from MDN was transformed into a structured video review in seconds.

With this approach, learning becomes easier, more accessible, and more visual. It looks like a new era in online education is coming.

Try it: notebooklm.google

πŸ‘‰ @https://t.iss.one/CodeProgrammer 🌟
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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
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πŸ”₯ Trending Repository: Fooocus

πŸ“ Description: Focus on prompting and generating

πŸ”— Repository URL: https://github.com/lllyasviel/Fooocus

πŸ“– Readme: https://github.com/lllyasviel/Fooocus#readme

πŸ“Š Statistics:
🌟 Stars: 46.1K stars
πŸ‘€ Watchers: 374
🍴 Forks: 7.4K forks

πŸ’» Programming Languages: Python - JavaScript

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: chatterbox

πŸ“ Description: SoTA open-source TTS

πŸ”— Repository URL: https://github.com/resemble-ai/chatterbox

🌐 Website: https://resemble-ai.github.io/chatterbox_demopage/

πŸ“– Readme: https://github.com/resemble-ai/chatterbox#readme

πŸ“Š Statistics:
🌟 Stars: 10.8K stars
πŸ‘€ Watchers: 82
🍴 Forks: 1.4K forks

πŸ’» Programming Languages: Python

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: 500-AI-Agents-Projects

πŸ“ Description: The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

πŸ”— Repository URL: https://github.com/ashishpatel26/500-AI-Agents-Projects

🌐 Website: https://github.com/ashishpatel26/500-AI-Agents-Projects

πŸ“– Readme: https://github.com/ashishpatel26/500-AI-Agents-Projects#readme

πŸ“Š Statistics:
🌟 Stars: 7K stars
πŸ‘€ Watchers: 105
🍴 Forks: 1.3K forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics:
#ai_agents #genai


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πŸ”₯ Trending Repository: cognitive-load

πŸ“ Description: 🧠 Cognitive Load is what matters

πŸ”— Repository URL: https://github.com/zakirullin/cognitive-load

πŸ“– Readme: https://github.com/zakirullin/cognitive-load#readme

πŸ“Š Statistics:
🌟 Stars: 9.4K stars
πŸ‘€ Watchers: 86
🍴 Forks: 200 forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: abogen

πŸ“ Description: Generate audiobooks from EPUBs, PDFs and text with synchronized captions.

πŸ”— Repository URL: https://github.com/denizsafak/abogen

🌐 Website: https://pypi.org/project/abogen/

πŸ“– Readme: https://github.com/denizsafak/abogen#readme

πŸ“Š Statistics:
🌟 Stars: 3.1K stars
πŸ‘€ Watchers: 18
🍴 Forks: 159 forks

πŸ’» Programming Languages: Python - Batchfile - Dockerfile

🏷️ Related Topics:
#text_to_speech #audiobook #tts #speech_synthesis #subtitles #audiobooks #narrator #content_creator #voice_synthesis #epub_converter #kokoro #content_creation #text_to_audio #media_generation #kokoro_tts #kokoro_82m


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πŸ”₯ Trending Repository: ML-From-Scratch

πŸ“ Description: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

πŸ”— Repository URL: https://github.com/eriklindernoren/ML-From-Scratch

πŸ“– Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme

πŸ“Š Statistics:
🌟 Stars: 27.8K stars
πŸ‘€ Watchers: 951
🍴 Forks: 4.8K forks

πŸ’» Programming Languages: Python

🏷️ Related Topics:
#data_science #machine_learning #data_mining #deep_learning #genetic_algorithm #deep_reinforcement_learning #machine_learning_from_scratch


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πŸ“Œ How to Context Engineer to Optimize Question Answering Pipelines

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-09-05 | ⏱️ Read time: 9 min read

Learn how to apply context engineering to enhance your question answering systems.
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πŸ“Œ Showcasing Your Work on HuggingFace Spaces

πŸ—‚ Category: PRODUCTIVITY

πŸ•’ Date: 2025-09-05 | ⏱️ Read time: 9 min read

Building an app is exciting – but sharing it is where the real value kicks…
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πŸ“Œ AI Operations Under the Hood: Challenges and Best Practices

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2025-09-05 | ⏱️ Read time: 18 min read

Building robust, reproducible, and reliable GenAI applications requires a framework of continuous improvement, rigorous evaluation,…
πŸ“Œ Zero-Inflated Data: A Comparison of Regression Models

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-09-05 | ⏱️ Read time: 13 min read

How to detect it and which model to choose.
πŸ“Œ Tool Masking: The Layer MCP Forgot

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2025-09-05 | ⏱️ Read time: 16 min read

Tool masking for AI improves AI agents: shape MCP tool surfaces to cut tokens and…
πŸ“Œ Should We Use LLMs As If They Were Swiss Knives?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-04 | ⏱️ Read time: 9 min read

A logic game performance comparison between popular LLMs and a custom-made algorithm
πŸ“Œ A Visual Guide to Tuning Random Forest Hyperparameters

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-09-04 | ⏱️ Read time: 8 min read

How hyperparameter tuning visually changes random forests
πŸ“Œ MobileNetV1 Paper Walkthrough: The Tiny Giant

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-09-04 | ⏱️ Read time: 26 min read

Understanding and implementing MobileNetV1 from scratch with PyTorch
πŸ“Œ Using LangGraph and MCP Servers to Create My Own Voice Assistant

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-09-04 | ⏱️ Read time: 30 min read

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