Popular AI Libraries

Machine Learning Libraries

scikit-learn

• Purpose: Traditional machine learning (classification, regression, clustering).
• Features: Easy APIs for training models, feature selection, and evaluation.
• Use cases: Spam detection, recommendation systems, predicting house prices.

XGBoost & LightGBM

• Purpose: Gradient boosting algorithms for structured/tabular data.
• Features: High accuracy, fast, handles large datasets.
• Use cases: Kaggle competitions, fraud detection, customer churn prediction.

Deep Learning Libraries

TensorFlow

• Purpose: End-to-end deep learning library by Google.
• Features: Neural networks, GPU/TPU support, production deployment (TensorFlow Serving, TF Lite).
• Use cases: Image recognition, text generation, speech-to-text.

PyTorch

• Purpose: Flexible deep learning library by Meta (Facebook).
• Features: Dynamic computation graphs, widely used in research and industry.
• Use cases: NLP transformers, GANs, reinforcement learning.

Keras

• Purpose: High-level deep learning API (runs on TensorFlow).
• Features: Simple, beginner-friendly.
• Use cases: Quick prototyping of deep learning models.

Natural Language Processing (NLP) Libraries

NLTK (Natural Language Toolkit)

• Purpose: Classic NLP toolkit.
• Features: Tokenization, stemming, POS tagging, parsing.
• Use cases: Text analysis, language preprocessing.

spaCy

• Purpose: Modern, fast NLP library.
• Features: Named entity recognition, part-of-speech tagging, dependency parsing.
• Use cases: Chatbots, document analysis.

Transformers (Hugging Face)

• Purpose: State-of-the-art NLP models.
• Features: Pre-trained models (BERT, GPT, T5, LLaMA).
• Use cases: Text summarization, translation, sentiment analysis.

Computer Vision Libraries

OpenCV

• Purpose: Computer vision & image processing.
• Features: Object detection, face recognition, video analysis.
• Use cases: Security cameras, medical imaging, AR apps.

Detectron2

• Purpose: Facebook AI’s object detection library.
• Features: Instance segmentation, keypoint detection.
• Use cases: Self-driving cars, advanced object recognition.