Monte (python) is a framework for rapidly building learning machines, such as neural networks, conditional random fields, logistic regression, and others. Monte consists of almost 100% pure Python code (with a little bit of optional inline-C for efficiency) and is therefore extremely easy to use and to extend.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for rorororo from gravatar.com rorororo

Credits

Author/Maintainer: Roland Memisevic

License

Python software foundation license.

Tags

machine learning neural networks conditional random fields

Classifiers

Report project as malware

Release history Release notifications | RSS feed

This release

0.0.11 This release

0.0.8

0.0.5

0.0.3

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page