Search Results for "training"

...It offers high performance and scalability—capable of training models like ResNet-50 on ImageNet in just minutes—while remaining accessible to both researchers and production engineers. The library integrates seamlessly with PyTorch Hub for easy access to pretrained models and supports elastic training using PyTorch Elastic, making distributed training robust to changes in cluster resources or hardware failures.

...The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. Although not yet production-ready, CrypTen focuses on advancing real-world secure ML applications, such as training and inference over private datasets, without exposing sensitive data.

TestMax is integrated Software Testing framework which can be used to test distributed system by developing rapid test cases using XML configuration in front and backend that talks to each other within the test framework. This tool can be used for Database, webservice, API, Junit, TestNg and Frontend including performance test. The main advantage of this TestMax architecture is separating test data configuration from test case run time environment. It reduces the maintenance of test cases...

This is a web framework, based on XML and XSL technology. Support for the incremental development with plug-in, support plug and play.