PyTorch: Deep learning framework for flexible AI models.

TensorFlow: End-to-end platform for machine learning.

Scikit-learn: Machine learning tools for data analysis.

Keras: High-level neural network API for quick prototyping.

NumPy: Core library for numerical operations in Python.

Pandas: Data manipulation and analysis library.

Transformers: NLP models for text generation and more.

Matplotlib: Visualization library for plotting graphs.

SciPy: Advanced scientific computations.

Theano: Library for numerical computation and deep learning.

OpenAI: AI tools and models, including GPT-based models.

LangChain: Library for developing language model applications.

NLTK: Toolkit for natural language processing.

OpenCV: Computer vision library for image processing.

Seaborn: Statistical data visualization.

XGBoost: Gradient boosting for structured data.

LlamaIndex: Framework for integrating language models with external data.

Rajesh Kumar

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