AI/ML

• OpenChatKit : OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications
• SkyPilot : SkyPilot is a framework for easily and cost effectively running ML workloads on any cloud
• UniLM : Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Books

• Alex Hayes - Conditional Process Analysis : Introduction to Mediation, Moderation, and CPA Third Edition
• Pandas Cookbook : Pandas gitBook
• Python Datascience Handbook

Cyber Analytics

• Cyber Analytic Respository : MITRE Cyber Analytic Repository

Data

• See Data Page

Tools

Platforms/Suites

• Brim : Novel data munging and analysis platform, Built on [zed[(https://github.com/brimdata/zed), a super-structured data model. *
• RapidMiner : Best in class data analytics tool suite
• Stroom : Stroom is a highly scalable data storage, processing and analysis platform.

Notebooks in the Cloud

• Amazon Cloud9
• Amazon EMR Notebooks
• Amazon Sage Maker
• Binder: Git to Jupyter Notebooks
• Datalore - Datalore
• Google Collab
• Observable : NextGen notebook collaboration tech from CMU
• deepnote : Next gen Notebook SaaS
• hex : Next geb Notebook SaaS

Visualization Platforms

• grafana : Operational dashboards for your data here, there, or anywhere
• metabase : The simplest, fastest way to get business intelligence and analytics to everyone in your compan
• redash : Connect to any data source, easily visualize, dashboard and share your data.
• superset : Apache Superset is a modern data exploration and visualization platform

Datascience Worflow Tools

• Katib : Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search
• Kedro : Kedro is an open-source Python framework to create reproducible, maintainable, and modular data science code
• MetaFlow: A human-friendly Python library that makes it straightforward to develop, deploy, and operate various kinds of data-intensive applications, in particular those involving data science and ML
• Ploomber : Framework to build collaborative and modular pipelines; it integrates with Jupyter but you can use it with any other editor
• Seldon : An open source platform to deploy your machine learning models on Kubernetes at massive scale.