Scanning all new published packages on PyPI I know that the quality is often quite bad. I try to filter out the worst ones and list here the ones which might be worth a look, being followed or inspire you in some way.

Modular composable chatbot development. Puppet is a high-level toolkit for building chatbots using conversational components. Try puppet if you want to make your chatbot modular using composable components.

Useful utility functions for evaluation of ML. The main motivation behind this package is to create a single place where the utility functions for ML projects are located. These functions represent the best I was able to scrape from various tutorials or offical documentation on the web.

Deep Learning tool for brain tumor segmentation.

A package to extract relations between entities. this maybe helpful and a important link for constructing KG. base on DSNF(Dependency Semantic Normal Forms) for now.

Format conversion and graphical representation of [Universal Dependencies]( ) trees.

Python tools to run and analyse LIME models

Convert JupyterNotebooks to Kubeflow Pipelines deployments. Kale is a Python package that aims at automatically deploy a general purpose Jupyter Notebook as a running [Kubeflow Pipelines](https://…/pipelines ) instance, without requiring the use the specific KFP DSL. The general idea of kale is to automatically arrange the cells included in a notebook, and transform them into a unified KFP-compliant pipeline. To do so, the user is only required to decide which cells correspond to which pipeline step, by the use of tags. In this way, a researcher can better focus on building and testing its code locally, and then scale it in a simple, organized and controlled way.

AI Tools for Lazy Developpers

A cleaner way to build neural networks for PyTorch.

Python implementations of rank aggregation methods for ranked lists.