PyTorch by Facebook's AI Research Lab

PyTorch is an open-source machine learning library primarily developed by Facebook's AI Research lab. It provides a flexible and dynamic platform for building deep learning models, offering a robust framework for tasks like natural language processing (NLP), computer vision, and reinforcement learning. PyTorch is known for its user-friendly interface, dynamic computational graph, and seamless integration with Python, making it highly favored by researchers and developers for experimentation and rapid prototyping. The library supports tensor computations similar to NumPy but with GPU acceleration, significantly speeding up tasks like training neural networks.

One of the key features of PyTorch is its dynamic nature, allowing developers to change the model architecture during runtime. This flexibility is especially beneficial for research, where models often evolve during the experimentation phase. PyTorch also includes high-level APIs, such as TorchVision for computer vision and TorchText for NLP, to simplify model development in specific domains. With its strong community support, continuous updates, and widespread adoption in both academia and industry, PyTorch has become one of the leading frameworks for deep learning, competing closely with TensorFlow in the AI space.