Django select2 theme for select input widgets.
Helpers for parsing user input, generating menus, transforming data, making comparisons, flexible argument acceptance (string to list/set), regex matching, and more
Enable select2 for Django admin select inputs
carbon footprint of the power consumption by fuel mix. Calculates carbon footprint based on fuel mix and discharge profile at the utility selected. Can create graphs and tabular output for fuel mix based on input file of series of power drawn over a period of time.
Distributed hyperparameter optimization and input variable selection for artificial neural networks.
SoNNia is a Python 3 software developed to infer selection pressures on features of amino acid CDR3 sequences. SoNNia takes as input TCR CDR3 amino acid sequences with V and J genes. Its output is sequence-level selection factors which indicate how more or less represented this sequence would be in the selected pool as compared to the pre-selected pool. These in turn could be used to calculate the probability of observing any sequence after selection and sample from the selected repertoire.
Django Tags Select Input
This tool can be used to assign positive id's to all elements and add a "version" attribute if missing. If multiple OSM input files are selected the tool will merge them into a single OSM output file. It is also possible to remap negative id's without changing the positive id's. Elements with "action"="delete" will be ignored. Use the --help command for more information.
GravitySpawner: A spawner for Jupyterhub to let user select and input options at the same time
A like Excel-slicer input widget for Streamlit
Enable select2 for Django3 admin select inputs
This package alows the user to get selected e-commerce product's title and price as tuple according to the user's input url.
A Python library for easily getting user input form multiple items in a list, emulating the Bash(1) builtin select.
Python-mardown extension for inputs(text, select, checkbox...) in markdown document
A custom Streamlit component that combines a slider with an input box for more precise value selection
A Keras callback package for recursively pruning the most uninformative input nodes during training.
This package alows the user to get selected e-commerce product's title and price as tuple according to the user's input url.