pytorch

PyTorch provides tensors, automatic differentiation and neural-network tools in a Python-centered workflow. I'd consider it for learning model training or building an experiment that needs control over the computation. The flexibility is the attraction: you can inspect intermediate values and write the training logic. That also leaves plenty of room for mistakes in data handling, memory use and evaluation. GPU setup depends on the machine and supported compute build, so use the official installation selector rather than assuming one command enables every accelerator. The quickstart installs the torch package; it is not a complete training environment.