PyTorch by Meta
PyTorch is an open-source machine learning library developed by Meta’s (formerly Facebook) AI Research lab (FAIR). It is widely used in both academia and industry for building, training, and deploying deep learning models, thanks to its dynamic computation graph and strong Python integration.
Key Features
Dynamic Computation Graphs: Flexible and intuitive for building complex models.
GPU Acceleration: Optimized for fast training and inference with CUDA support.
Rich Ecosystem: Includes TorchVision, TorchText, and other domain-specific libraries.
Pythonic API: Designed for ease of use with native Python support.
Research to Production: Supports model export with TorchScript and deployment via ONNX and PyTorch Mobile.
Example Use Cases
Developing cutting-edge models in computer vision and natural language processing
Conducting AI research with reproducible experimentation
Training deep neural networks at scale with GPU acceleration
Deploying models across cloud, edge, and mobile environments