relocate Netron (#580)

README.md

@@ -295,7 +295,6 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [LIME](https://github.com/marcotcr/lime) ![](https://img.shields.io/github/stars/marcotcr/lime.svg?style=social) - Local Interpretable Model-agnostic Explanations for machine learning models.
 * [LOFO Importance](https://github.com/aerdem4/lofo-importance) ![](https://img.shields.io/github/stars/aerdem4/lofo-importance.svg?style=social) - LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and evaluating the performance of the model, with a validation scheme of choice, based on the chosen metric.
 * [mljar-supervised](https://github.com/mljar/mljar-supervised) ![](https://img.shields.io/github/stars/mljar/mljar-supervised.svg?style=social) - A Python package for AutoML on tabular data with feature engineering, hyper-parameters tuning, explanations and automatic documentation.
-* [NETRON](https://github.com/lutzroeder/netron) ![](https://img.shields.io/github/stars/lutzroeder/netron.svg?style=social) - Viewer for neural network, deep learning and machine learning models.
 * [SHAP](https://github.com/shap/shap) ![](https://img.shields.io/github/stars/shap/shap.svg?style=social) - SHapley Additive exPlanations is a unified approach to explain the output of any machine learning model.
 * [SHAPash](https://github.com/MAIF/shapash) ![](https://img.shields.io/github/stars/MAIF/shapash.svg?style=social) - Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.
 * [themis-ml](https://github.com/cosmicBboy/themis-ml) ![](https://img.shields.io/github/stars/cosmicBboy/themis-ml.svg?style=social) - themis-ml is a Python library built on top of pandas and sklearn that implements fairness-aware machine learning algorithms.
@@ -475,6 +474,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [Kangas](https://github.com/comet-ml/kangas) ![](https://img.shields.io/github/stars/comet-ml/kangas.svg?style=social) - Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.
 * [matplotlib](https://github.com/matplotlib/matplotlib) ![](https://img.shields.io/github/stars/matplotlib/matplotlib.svg?style=social) - A Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.
 * [Missingno](https://github.com/ResidentMario/missingno) ![](https://img.shields.io/github/stars/ResidentMario/missingno.svg?style=social) - missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset.
+* [Netron](https://github.com/lutzroeder/netron) ![](https://img.shields.io/github/stars/lutzroeder/netron.svg?style=social) - Netron is a viewer for neural network, deep learning and machine learning models.
 * [PDPBox](https://github.com/SauceCat/PDPbox) ![](https://img.shields.io/github/stars/SauceCat/PDPbox.svg?style=social) - This repository is inspired by ICEbox. The goal is to visualize the impact of certain features towards model prediction for any supervised learning algorithm.
 * [Perspective](https://github.com/finos/perspective) ![](https://img.shields.io/github/stars/finos/perspective.svg?style=social) Streaming pivot visualization via WebAssembly.
 * [Pixiedust](https://github.com/pixiedust/pixiedust) ![](https://img.shields.io/github/stars/pixiedust/pixiedust.svg?style=social) - PixieDust is a productivity tool for Python or Scala notebooks, which lets a developer encapsulate business logic into something easy for your customers to consume.