Python | Machine Learning | Coding | R
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Discover powerful insights with Python, Machine Learning, Coding, and Rβ€”your essential toolkit for data-driven solutions, smart alg

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πŸ”₯ Trending Repository: awesome-transformer-nlp

πŸ“ Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

πŸ”— Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp

πŸ“– Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme

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πŸ”₯ Trending Repository: awesome-deeplearning-resources

πŸ“ Description: Deep Learning and deep reinforcement learning research papers and some codes

πŸ”— Repository URL: https://github.com/endymecy/awesome-deeplearning-resources

πŸ“– Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme

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πŸ”₯ Trending Repository: awesome-deep-vision

πŸ“ Description: A curated list of deep learning resources for computer vision

πŸ”— Repository URL: https://github.com/kjw0612/awesome-deep-vision

πŸ“– Readme: https://github.com/kjw0612/awesome-deep-vision#readme

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✨ Download a Free Python Cheat Sheet ✨

πŸ“– Download a free Python 3 cheat sheet PDF put together by the Real Python team.

🏷️ #Python
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Get top-tier market analysis: world events meet technical trading.

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Let's Learn MCP with Python - Tutorial Series

Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.

Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file

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One of the best free courses on LLMs is the Recent Advances on Foundation Models course from the University of Waterloo, and it has 21 lectures under these five sections:

1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models

➑️ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/

https://t.iss.one/CodeProgrammer πŸ”—
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πŸ“Œ How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe

✍️ OMOTAYO OMOYEMI
🏷️ #Computer_Vision
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This GitHub repo is a gold mine for EVERY data scientist!

DS Interactive Python repo has interactive dashboards to learn statistics, ML models, and other DS concepts.

Topics include PCA, bagging & boosting, clustering, neural networks, etc.

Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython

https://t.iss.one/CodeProgrammer πŸ”—
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Eye control with Python

EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.

The JavaScript version allows running everything directly in the browser.

Installation:

$ git clone https://github.com/NativeSensors/EyeGestures.git
$ cd EyeGestures
$ pip install -r requirements.txt


or

python3 -m pip install eyeGestures


Open source code, documentation, and usage examples - click

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πŸ”₯ Trending Repository: free-programming-books

πŸ“ Description: πŸ“š Freely available programming books

πŸ”— Repository URL: https://github.com/EbookFoundation/free-programming-books

🌐 Website: https://ebookfoundation.github.io/free-programming-books/

πŸ“– Readme: https://github.com/EbookFoundation/free-programming-books#readme

πŸ“Š Statistics:
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πŸ’» Programming Languages: Python - HTML

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Forwarded from ENG. Hussein Sheikho
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