TorchEval
(Prototype) Introducing Native Metrics Support for PyTorch
TorchEval is a library built for users who want highly performant implementations of common metrics to evaluate machine learning models. It also provides an easy to use interface for building custom metrics with the same toolkit. Building your metrics with TorchEval makes running distributed training loops with torch.distributed a breeze.
Learn more with our docs, see our examples, or check out our GitHub repo.
TorchMultimodal Release (Beta)