phd-thesis
by glouppe
Repository of my thesis "Understanding Random Forests"
AI summary
Random forest analysis
An in-depth analysis of random forests, focusing on their learning capabilities and interpretability.
- stars
- 525
- forks
- 152
- watching
- 42
- awesome lists
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Forest analysis toolkit
Tools and analyses for working with Hansen et al.'s Global Forest Change dataset
Deforestation risk modeler
A Python package to model and forecast deforestation risk in the tropics using spatial analysis and machine learning.
forest analysis suite
A set of R packages providing tools and data analysis capabilities for forest ecology and dynamics
Canopy analysis
This project investigates the relationship between forest canopy height and density using LiDAR data from ICESat GLAS, GEDI, and ICESat-2.
Tropical forest deforestation model
This project models and forecasts tropical deforestation using spatial analysis and machine learning techniques
Forest analysis tool
An R package for analyzing tree-ring data to identify insect defoliators and disturbances in forests
Gap analysis tool
A package for analyzing gaps in tropical forests using airborne laser scanning data
DEM analyzer
An open-source Python package for analyzing digital elevation models and terrain data
Forest algorithm
A JavaScript implementation of a random forest algorithm for classification and regression tasks.
Forest dataset repository
A catalogue of forest monitoring datasets for machine learning and research purposes.
Forest projection tool
Visualizing future European forest cover based on climate modeling data
Random Forests
A Go implementation of random forest algorithms for machine learning and data analysis
Tropical Forest Estimator
A dataset and toolset for estimating tropical forest biomass from drone and field data.
Lidar analysis tool
Tools and methods for analyzing airborne LiDAR data to quantify forest vertical structure
Graph library
A lightweight C++ graph library designed to simplify graph-related tasks and provide general-purpose graph algorithms
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions phd-thesis.
