Scientific Software
Updated 6 months ago

AutoEmulate — Peer-reviewed • Rank 13.0 • Science 98%

AutoEmulate: A Python package for semi-automated emulation - Published in JOSS (2025)

Scientific Software
Updated 6 months ago

BATMAN — Peer-reviewed • Rank 10.5 • Science 87%

BATMAN: Statistical analysis for expensive computer codes made easy - Published in JOSS (2018)

Scientific Software
Updated 6 months ago

RENT — Peer-reviewed • Rank 4.3 • Science 93%

RENT: A Python Package for Repeated Elastic Net Feature Selection - Published in JOSS (2021)

Updated 6 months ago

cavaanalytics • Rank 3.3 • Science 67%

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

Updated 6 months ago

synthpred • Rank 0.7 • Science 67%

A Julia package for synthetic data analysis, advanced imputation (ARIMA, RNN), AutoML, and ensemble modeling.

Updated 6 months ago

mocapnet • Rank 7.9 • Science 31%

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

Updated 5 months ago

global-canopy-height-model • Rank 5.8 • Science 33%

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.

Updated 5 months ago

https://github.com/gperdrizet/ensembleset • Rank 5.0 • Science 26%

Ensemble dataset generator for tabular data prediction and modeling projects.

Updated 5 months ago

https://github.com/chen-hao-chao/rethinking-end-seguda • Science 13%

[CVPRW 2021] Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation

Updated 6 months ago

chempfn • Science 54%

Ensemble-based, size-agnostic wrapper for the TabPFN classifier