Pytorch

PyTorch is an open-source machine learning framework developed by Facebook (Meta) that provides a Python-based approach to deep learning with dynamic computation graphs. Known for its intuitive design and ease of use, PyTorch has become the preferred framework for researchers and developers working on neural networks, computer vision, and natural language processing projects. The framework features eager execution, automatic differentiation, dynamic neural networks, and extensive GPU acceleration support. PyTorch includes TorchVision for computer vision, TorchText for NLP, TorchAudio for speech processing, and a rich ecosystem of third-party libraries. Key capabilities include tensor operations with GPU support, autograd for automatic gradient computation, neural network building blocks, pre-trained models, distributed training, and mobile deployment via TorchScript. Popular among AI researchers, machine learning engineers, and data scientists for prototyping, research, and production deep learning applications. PyTorch offers excellent documentation, active community support, and seamless integration with Python data science tools like NumPy, SciPy, and Jupyter notebooks. Used by major tech companies, research institutions, and startups worldwide for cutting-edge AI development.