AutoEmulate
AutoEmulate: A Python package for semi-automated emulation - Published in JOSS (2025)
BATMAN
BATMAN: Statistical analysis for expensive computer codes made easy - Published in JOSS (2018)
RENT
RENT: A Python Package for Repeated Elastic Net Feature Selection - Published in JOSS (2021)
cavaanalytics
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
synthpred
A Julia package for synthetic data analysis, advanced imputation (ARIMA, RNN), AutoML, and ensemble modeling.
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
mocapnet
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
global-canopy-height-model
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
https://github.com/gperdrizet/ensembleset
Ensemble dataset generator for tabular data prediction and modeling projects.
https://github.com/business-science/modeltime.ensemble
Time Series Ensemble Forecasting
https://github.com/aryashah2k/nlp-data-augmentation
Implementing 5 Different Approaches To Augmenting Data For Natural Language Processing Tasks.
https://github.com/chen-hao-chao/rethinking-end-seguda
[CVPRW 2021] Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation