PyTorch
PyTorch is a deep learning framework that is based on the Torch library. It is a powerful and flexible framework for building and training neural networks, and it is particularly well-suited for GPU-accelerated training.
Powerful and flexible deep learning framework.
Website pytorch.org , PyTorch on GitHub
Keras
Keras is a high-level neural network API that is built on top of TensorFlow and PyTorch. It provides a user-friendly interface for defining neural network architectures and training models, making it a popular choice for beginners and experienced practitioners alike.
User-friendly interface for defining neural network architectures and training models.
Website keras.io, Keras on GitHub
Pandas
Pandas is a Python library for data manipulation and analysis. It provides a powerful set of tools for data cleaning, transformation, and analysis, making it an essential tool for working with structured data in machine learning.
Strength: Powerful data manipulation and analysis for structured data.
Website pandas.pydata.org, Pandas on GitHub
Numpy
NumPy is a numerical Python library that provides efficient data structures and operations for numerical computing. It is essential for working with large datasets, especially in scientific computing and machine learning.
Strength: Fast numerical data manipulation and operations.
Website numpy.org, Numpy on GitHub
Matplotlib
Matplotlib is a Python library for creating 2D plots and visualizations. It is a versatile tool for visualizing data, and it is widely used in machine learning for tasks such as data exploration, model evaluation, and communication of results.
Versatile tool for creating 2D plots and visualizations.
Website matplotlib.org, Matplotlib on GitHub
Huggingface Transformers
Transformers is a library for constructing, utilizing, and adapting transformer-based NLP models, enabling NLP practitioners to build effective NLP applications tailored to their specific needs.
Website huggingface.co, Transformers on GitHub
Together, these libraries form a powerful and versatile AI training stack and are widely used in Machine Learning and LLMs.