Overview
PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Originally developed by Meta AI, it provides maximum flexibility and speed for deep learning research and production.
Features
- Dynamic Computation Graphs: Offers reverse-mode auto-differentiation, allowing you to change how your network behaves on the fly.
- Distributed Training: Highly scalable distributed training across multiple GPUs and machines using torch.distributed.
- Ecosystem: A massive ecosystem of tools like TorchVision, TorchText, and TorchAudio.
Use Cases
- State-of-the-art Deep Learning research.
- Production-grade ML pipelines via TorchScript.
- Computer Vision, NLP, and Generative AI modeling.