Looking for alternatives to the lidR R package, for research purposes, plus some resources to start working on it.
New collection of Jupyter Notebooks enables programmatic access to cloud-hosted USGS 3D Elevation Program (3DEP) lidar data
https://opentopography.org/blog/new-collection-jupyter-notebooks-enables-programmatic-access-cloud-hosted-usgs-3d-elevation
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets https://www.mdpi.com/2072-4292/12/4/719 uses Spark
A guide covering LiDAR including the applications, libraries and tools that will make you better and more efficient with LiDAR development.
https://github.com/mikeroyal/LiDAR-Guide
Learning from LiDAR Data with Deep Learning https://www.strong.io/blog/deep-learning-for-lidar-data
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes https://doi.org/10.1016/j.compag.2020.105815