Hyperdash is a machine learning monitoring platform designed with data scientists in mind. It allows you to monitor the progress of your training sessions with live alerts and conveniently stream console logs from your machine to any device.
- Monitor the status of your training sessions in real-time.
- Access complete console logs for each training run, both current and previous.
- View stack traces in case of a failed run.
- Contact developers via text easily to address bugs or incorporate new features.
For more information, visit hyperdash.io
Hyperdash's open-source Python SDK:
- Compatible with all Python 2.7 and 3.x machine learning libraries, such as Keras, Tensorflow, Theano, PyTorch, and more.
- Works seamlessly on cloud instances and local machines, allowing simultaneous use of both.
- Emphasizes security and privacy – your dataset remains on your local environment and is never transferred to external servers.
How To Guide
Download our Python SDK (supports 2.7 & 3.x) via pip and sign up through the command line:
$ pip install hyperdash && hyperdash signup
To test the setup, run:
$ hyperdash demo
Proceed to utilize the same credentials to access the iPhone app and monitor your test run progress in real-time. Detailed instructions and additional resources are available on our website as well as our GitHub repository to help you integrate Hyperdash seamlessly into your machine learning projects.
Visão geral
Hyperdash - Machine Learning é um software Freeware a categoria (2) desenvolvido pela Andrew Schreiber.
É a versão mais recente de Hyperdash - Machine Learning 1.8, lançado em 26/06/2024. Inicialmente foi adicionado ao nosso banco de dados em 26/06/2024.
Hyperdash - Machine Learning é executado nos seguintes sistemas operacionais: iOS.
Usuários de Hyperdash - Machine Learning deram-lhe uma classificação de 5 de 5 estrelas.
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