📌 PyTorch Sentiment Analysis - analysis of the emotional component of the text

This repository contains different implementations of text analysis in PyTorch:
🔄 using a “bag of words”
🟰 using a recurrent neural network (RNN)
♾ via convolutional neural network (CNN)
🔍 with the help of fashionable transformers

🖥 GitHub

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✈️ http://t.me/codeprogrammer ✅️

⭐️ Large list of resources for Data Science practice

This is a selection of Python libraries, links to tutorials, links to code examples for solving DS problems.

🖥 GitHub: https://github.com/r0f1/datascience

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✅️ http://t.me/codeprogrammer ✅️

Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) 🎓

Here are 8 FREE courses to master AI in 2024:

1. Google AI Courses
5 courses covering generative AI from the ground up
https://www.cloudskillsboost.google/paths/118

2. Microsoft AI Course
Basics of AI, neural networks, and deep learning
https://microsoft.github.io/AI-For-Beginners/

3. Introduction to AI with Python (Harvard)
7-week course exploring AI concepts and algorithms
https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python

4. Prompt Engineering for ChatGPT (Vanderbilt)
6 modules on writing effective prompts for ChatGPT
https://www.coursera.org/learn/prompt-engineering

5. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning)
Best practices and hands-on prompting experience
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

6. LLMOps (Google Cloud & DeepLearning)
Learn the LLMOps pipeline and deploy custom LLMs
https://www.deeplearning.ai/short-courses/llmops/

7. Big Data, AI, and Ethics (UC Davis)
4 modules on big data, IBM's Watson, and AI limitations
https://www.coursera.org/learn/big-data-ai-ethics

8. AI Applications and Prompt Engineering (edX)
Introductory course on prompt engineering and AI applications
https://www.edx.org/learn/computer-programming/edx-ai-applications-and-prompt-engineering

👉 To take Coursera courses for free, click 'Enroll for free' and 'Audit the course'.

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✅️ http://t.me/codeprogrammer ✅️

🖥 deepface - Python library for facial recognition and more

- pip install deepface

⏩ deepface is a lightweight Python library that allows you to find faces and analyze various attributes from photographs: age, gender, emotions.
It incorporates the best of the VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace and GhostFaceNet models.

⏩ This is how you can compare the similarity of 2 faces, the result is in the image:

from deepface import DeepFace
result = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg")

🖥 GitHub
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✅️ http://t.me/codeprogrammer ✅️

🖥 SQL generator

Sqlcode 8b based on Llama-3 has been released!

This is probably the best <10B model currently available for converting text to SQL .

Works better than gpt-4-turbo and claude opus for generating SQL queries.

⭐️ Github: https://github.com/defog-ai/sql-eval

✅️ Weights: https://huggingface.co/defog/llama-3-sqlcoder-8b/

🟢 Demo (optimized for postgres): https://defog.ai/sqlcoder-demo/

✅️ http://t.me/codeprogrammer ✅️

🎁 LLM Cheatsheet

✅️ http://t.me/codeprogrammer ✅️

🖥 Gensim - Python library for working with natural language

✅ pip install gensim

Gensim can be used for document indexing and similarity searches in large texts.
Gensim will be especially relevant for specialists in natural language processing (NLP) and information retrieval.

🖥 GitHub

✅️ http://t.me/codeprogrammer ✅️