semvec/pypi-packages huggingface dataset:
NaroNet-djimenezsanchez 0.0.0
Learning of tumor microenvironments from patient labels
Requires Python: >=3.7

# NaroNet: objective-based learning of the tumor microenvironment from multiplex imaging.
Trained only with patient-level labels, NaroNet quantifies the phenotypes, neighborhoods, and neighborhood interactions that have the highest influence on the predictive task. This is the python implementation as described in our [*paper*](https://arxiv.org/abs/2103.05385).  

![alt text](https://github.com/djimenezsanchez/NaroNet/blob/main/models/MethodDescription.png?raw=true)

### Installation
This package requires Python 3.6 (or newer)
Please first install TensorFlow (either TensorFlow 1 or 2) and Pytorch (v.1.4.0 or newer) by following the official instructions. For GPU support, it is crucial to install the specific versions of CUDA that are compatible with the respective version of TensorFlow and Pytorch.

To install NaroNet:
```sh
pip install NaroNet
```
tljh-db 0.5
The littlest jupyterhub plugin for working with mysql databases
Requires Python: >=3.8

        ![Lint](https://github.com/sinzlab/tljh-db/workflows/Lint/badge.svg)
        ![Build](https://github.com/sinzlab/tljh-db/workflows/Build/badge.svg)
        [![PyPI version](https://badge.fury.io/py/tljh-db.svg)](https://badge.fury.io/py/tljh-db)

        Everytime a new user is created in the JupyterHub a corresponding user will
        be created in a pre-configured database server by this plugin. Afterwards a
        matching DataJoint configuration file will be placed in the home directory
        of the newly created JupyterHub user.

        ## Configuration

        This plugin is configured via `/srv/tljh-db.ini`.

        Example:

        ```INI
        [DEFAULT]
        Host = 127.0.0.1
        User = root
        Password = root-password
        ```