Added essential libraries under Machine Learning, Deep Learning, and NLP categories to reflect widely adopted tools in modern ML/DL workflows.

Machine Learning

• lightgbm – Fast, distributed, high-performance gradient boosting.
• catboost – High-performance gradient boosting on decision trees.
• optuna – Automatic hyperparameter optimization framework.
• mlflow – End-to-end platform for managing the ML lifecycle.

Deep Learning

• transformers – State-of-the-art NLP models by Hugging Face.
• diffusers – Diffusion models for image and audio generation.
• sentence-transformers – Multilingual sentence & image embeddings.

Natural Language Processing

• transformers – Pretrained NLP models for PyTorch/TensorFlow.
• datasets – Hugging Face hub for ready-to-use datasets.
• evaluate – Metrics and evaluation tools for ML models.
• sentence-transformers – Sentence embeddings for semantic search and more.

These libraries are actively maintained, production-ready, and widely used in both industry and academia.