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.

scaaml
Side Channel Attack Assisted with Machine Learning

sklite
Use Scikit Learn models in Flutter. Easily transpile scikit-learn models to native Dart code aimed at Flutter. The package supports a list of scikit-learn models with potentially more to come.

slalom-dataops
Slalom GGP libary for DataOps automation

tiggatts-watson-gsingh
Watson TTS Implementation. This Module is designed to convert Text to Speech format. It will generate Wav file for any Text-String passed to the module.

torchwood


type-classifier
ML classifier package

vivid
Enterprise Machine-Learning and Predictive Analytics. Vivid Code is a pioneering software framework for next generation data analysis applications, that interconnects collaborative data science with automated machine learning. Based on the **Cloud-Assisted Meta programming** (CAMP) paradigm, the framework allows the usage of Currently Best Fitting (CBF) algorithms. Before code interpretation / compilation the concrete algorithms, that implement the CBF specifications, are automatically chosen from local and public catalog servers, that host and deploy the concrete algorithms. Thereby the specification is constituted by a unique algorithm category, a data domain and a metric, which substantiates the meaning of *Best Fitting* within the respective algorithm- and data context. An example is the average prediction accuracy within a fixed set of gold standard samples of the data domain (e.g. latin handwriting samples, spoken word samples, TCGA gene expression data, etc.).

alyeska
Alyeska /al-ee-EHS-kah/ n. A Data Pipeline Toolkit

clause
中文语义理解服务 Python SDK

compsyn
Python package to explore the color of language. compsyn is a package which provides a novel methodlogy to explore relationships between words and abstract concepts through color. The work rose through a collaboration between the contributors at the Santa Fe Institute’s Complex System Summer School 2019.

dezero
deep learning framework from zero

kubeflow-fairing
Kubeflow Fairing Python SDK. Python SDK for Kubeflow Fairing components.

md2ipynb
Markdown to Jupyter Notebook converter.

ml-pipelines
Python client for ML Pipelines. Python client for the BitGN Machine Learning Pipelines project.

morris-counter
Memory-efficient probabilistic counter namely Morris Counter

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