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.

• reslackbot
A simple chat bot for Slack

• torchserve
TorchServe is a tool for serving neural net models for inference. TorchServe (PyTorch mdoel server) is a flexible and easy to use tool for serving deep learning models exported from PyTorch. Use the TorchServe CLI, or the pre-configured Docker images, to start a service that sets up HTTP endpoints to handle model inference requests.

• wai.tfutils
Library with utility functions to reduce amount of code for making predictions with TensorFlow.

• codeprep
A toolkit for pre-processing large source code corpora

• convexplore
A library to explore, explain and debug convolutional neural networks (CNNs) with fastai.

• DeePyMoD
DeePyMoD is a PyTorch-based implementation of the DeepMoD algorithm for model discovery of PDEs.

• jk-tokenizingparsing
This python module provides basic classes for tokenizing and parsing.

• jk-xmlparser
This python module parses XML (and HTML) files.

• kot1
A thin wrapper of the openweatherapi for easy access to hourly weather forecast data.

• md4c
Markdown parsing.

• mead-baseline
Strong Deep-Learning Baseline algorithms for NLP

• parallel-ml
Parallel ML utilities (GPU or CPU) that I can’t find anywhere else