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Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faste…
TabICLv2: A state-of-the-art tabular foundation model
Mapping the extent, management and condition of the world’s grasslands
[ICLR '26 Oral] Official repository of the paper "AnyUp: Universal Feature Upsampling".
A Python package for Remote Sensing Data Analysis
deep learning prediction of human modification
Collection of useful machine learning codes and snippets (originally intended for my personal use)
Post-hoc calibration methods and metrics for classification
Official implementation of LossVal - Efficient Data Valuation for Neural Networks
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Short course on species distribution models for QM MSc students centered on the R package tidysdm.
Google Earth Engine Asset Manager with Addons
Python and JavaScript bindings for calling the Earth Engine API.
FlipnSlide: A Python Package for for Preserving Spatial Context when Preprocessing Large Scientific Images
A game theoretic approach to explain the output of any machine learning model.
Open source AI/ML capabilities for the FiftyOne ecosystem
Code for running baseline models/experiments with the Fields of The World dataset
A python based GUI to annotate images and save annotations as COCO style JSON format.
This tutorial approaches Synthetic Aperture Radar (SAR) as one more data modality to be integrated into Machine Learning applications, in contrast to traditional SAR-specific tutorials. The focus i…
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Documentation for creating the Natural Lands Map for SBTN Target Setting
Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
The best collection of AI tutorials to make you a boss of Data Science!
Conformal Locally Valid interval-Estimates for Regression