📚 AI/ML Resources

💻 1. Programming Basics

• Python Docs
• The Hitchhiker's Guide to Python

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📐 2. Math for ML

• Mathematics for Machine Learning
• 3Blue1Brown: Essence of Linear Algebra
• Khan Academy: Multivariable Calculus

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⚡ 3. ML Frameworks

🔦 PyTorch

• PyTorch Docs
• PyTorch Recipes

🤖 TensorFlow & Keras

• TensorFlow Docs
• Keras Docs

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📑 4. ML Fundamentals

• 3Blue1Brown: Neural Networks Playlist
• StatQuest: Machine Learning Playlist
• Scikit-learn Docs

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🧠 5. Deep Learning Fundamentals

• Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
• Neural Networks and Deep Learning by Michael Nielsen
• Fast.ai Deep Learning Course

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🛠️ 6. Tools & Libraries

🔡 NLP Tools

• Hugging Face Transformers
• Hugging Face Tokenizers
• SpaCy
• NLTK
• Gensim
• Sentence Transformers

📸 Computer Vision Tools

• OpenCV
• Pillow
• Torchvision
• Hugging Face timm
• Tesseract OCR

🎧 Audio Tools

• Librosa
• PyDub
• SpeechBrain
• Torchaudio

📊 Visualization Libraries

• Matplotlib
• Seaborn
• Plotly

🧩 NumPy & Data Tools

• NumPy
• Pandas
• SciPy

🎯 Reinforcement Learning Tools

• TorchRL
• StableBaselines3
• Gymnasium
• PyQlearning
• TensorForce

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📦 7. Pre-trained Model Libraries

• Hugging Face Models
• TensorFlow Hub
• Torch Hub

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🚂 8. Training and Optimization

• Hugging Face Accelerate
• Torch Optim
• Hugging Face Autotrain

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🧪 9. Agents and Tools

• Langgraph
• Langchain
• Ragas

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〽️ 9. Dataset Sources

• Kaggle Datasets
• Google Dataset Search
• Hugging Face Datasets
• UCI ML Repository

🖼️ Specialized Datasets

• ImageNet
• COCO Dataset
• LibriSpeech (ASR)

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🎓 10. Tutorials & Blogs

• Papers with Code
• Medium
• Towards Data Science
• Neptune.ai Blog
• Fast.ai Blog
• Distill.pub