Description

Hello! 👋

This PR addresses issue #445 by adding comprehensive ML/DL resources to the ML/README.md file.

Changes Made

• ✅ Added extensive resources for Large Language Models (LLMs) including:

  • Hugging Face NLP Course
  • Stanford CS224N: Natural Language Processing with Deep Learning
  • LLM University by Cohere
  • Fine-tuning guides from DeepLearning.AI
  • OpenAI GPT best practices

• ✅ Added resources for Transformers Architecture including:

  • Illustrated Transformer by Jay Alammar
  • Original "Attention Is All You Need" paper
  • The Annotated Transformer
  • Hugging Face Transformers Documentation
  • Stanford CS25: Transformers United

• ✅ Added resources for Generative Adversarial Networks (GANs) including:

  • GAN Lab - Interactive Visualization
  • Stanford CS236: Deep Generative Models
  • GAN Specialization by DeepLearning.AI
  • PyTorch GAN Tutorial
  • Papers with Code - GANs

• ✅ Added resources for Neural Network Architectures including:

  • Deep Learning Architectures Visual Guide
  • ResNet, EfficientNet, Vision Transformers papers
  • CNN Explainer - Interactive Visualization

• ✅ Added Additional Resources section with:

  • Papers with Code
  • Arxiv Sanity Preserver
  • Distill.pub for visual ML explanations
  • Two Minute Papers YouTube channel

Formatting Improvements

• Fixed HTML comment formatting
• Standardized badge color notation (COLOR → color)
• Cleaned up README structure for better readability

All resources are high-quality, beginner-friendly yet comprehensive, and personally curated for students looking to learn these advanced ML/DL topics.

Issue Reference

Closes #445

Thank you for reviewing this PR! I'm happy to make any changes if needed. 🙏