This is the Linux app named TorchMetrics whose latest release can be downloaded as Clusteringmetrics.zip. It can be run online in the free hosting provider OnWorks for workstations.
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TorchMetrics
DESCRIPTION
TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. Your data will always be placed on the same device as your metrics. You can log Metric objects directly in Lightning to reduce even more boilerplate. The module-based metrics contain internal metric states (similar to the parameters of the PyTorch module) that automate accumulation and synchronization across devices! Automatic accumulation over multiple batches. Automatic synchronization between multiple devices. Metric arithmetic. Similar to torch.nn, most metrics have both a module-based and a functional version. The functional versions are simple python functions that as input take torch.tensors and return the corresponding metric as a torch.tensor.
Features
- A standardized interface to increase reproducibility
- Reduces Boilerplate
- Distributed-training compatible
- Rigorously tested
- Automatic accumulation over batches
- Automatic synchronization between multiple devices
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/torchmetrics.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
