semvec/pypi-packages huggingface dataset:
odoo8-addon-crm-construction-site 8.0.0.1.0.99.dev1
Construction site address of a lead/opportunity.
Requires Python: ~=2.7

.. image:: https://img.shields.io/badge/licence-AGPL--3-blue.svg
    :alt: License: AGPL-3

CRM Construction Site Address
=============================

This module allows you to assign a construction site to a lead or opportunity.

Credits
=======

Contributors
------------

* Mathias Colpaert <colpaert.mathias@gmail.com>

Maintainer
----------

.. image:: http://odoo-community.org/logo.png
   :alt: Odoo Community Association
   :target: http://odoo-community.org

This module is maintained by the OCA.

OCA, or the Odoo Community Association, is a nonprofit organization whose
mission is to support the collaborative development of Odoo features and
promote its widespread use.

To contribute to this module, please visit http://odoo-community.org.
odoo8-addon-hr-expense-sequence 8.0.1.0.0.99.dev12
HR expense sequence
Requires Python: ~=2.7

Sequence for HR expense
=======================

This module gives a unique number for each HR expense declaration.

Configuration
=============

You can change the default sequence (EX0000...) by the one of your choice
going to Settings > Technical > Sequences & Identifiers > Sequences, and
editing "HR expense" record.

You will only have access to that section if your section has "Technical
features" permission check marked.

Credits
=======

Contributors
------------

* Pedro M. Baeza <pedro.baeza@serviciosbaeza.com>

Maintainer
----------

.. image:: http://odoo-community.org/logo.png
   :alt: Odoo Community Association
   :target: http://odoo-community.org

This module is maintained by the OCA.

OCA, or the Odoo Community Association, is a nonprofit organization whose mission is to support the collaborative development of Odoo features and promote its widespread use.

To contribute to this module, please visit http://odoo-community.org.
msAI 1.3.1.dev0
Tools to create AI models for mass spectrometry data
Requires Python: >3.6
Keywords: AI models mass spectrometry MS data mzML spectrum ion chromatogram TIC extracted-ion EIC XIC machine learning artificial intelligence deep neural network


############
Introduction
############

msAI - Software Tools to Create AI Models for Mass Spectrometry Data

**Note:** msAI is in development. Currently, all releases are development previews. Features are incomplete and may change.


********
Overview
********

*msAI provides a library of python modules for...*

    * Extracting data from mass spectrometry data files

        * Supported MS file types: mzML, TBD…

    * Importing sample metadata

        * Unify MS data and sample metadata in a single view

    * Partitioning data for training, testing, and validation

    * Quality analysis of MS runs / samples

        * Metadata verification
        * Anomaly detection

    * Plotting / visualization

    * AI / machine learning frameworks

        * TensorFlow
        * TBD…

    * Creating AI models

        * Neural network architectures - neuron layers, connections, activation functions
        * Model training - loss and optimization functions, hyperparameter tuning
        * Evaluation of models - measure accuracy, prevent overfitting

    * Model lifecycle management

        * Deploy, update, backup, restore


************
Installation
************

Install from the Python Package Index (PyPI)::

    pip install msAI


*************
Documentation
*************

https://msai.readthedocs.io