This is the repository for the BioCLIP model and the TreeOfLife-10M dataset [CVPR'24 Oral, Best Student Paper].
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Sep 29, 2026 - Python
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knowledge-guided-machine-learning
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Repository for the BioCLIP 2 model project. [NeurIPS'25 Spotlight] BioCLIP 2 is a biological foundation model trained on TreeOfLife-200M. Despite the narrow training objective, BioCLIP 2 yields extraordinary accuracy when applied to various biological visual tasks such as habitat classification and trait prediction.
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Sep 17, 2026 - Python
PyKGML is a Python library to facilitate the development of knowledge-guided machine learning (KGML) models in agriculture and forestry
python-library greenhouse-gas-emissions ecosystem-modeling knowledge-guided-machine-learning ai-for-agriculture pykgml python-kgml
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Sep 18, 2026 - Jupyter Notebook
Improved Embedded Topic Models in Hyperbolic Space
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Mar 24, 2023 - Python
Repository for the BioCAP model project. [ICLR'26] Biological foundation model trained on the TreeOfLife-10M dataset paired with a new TreeOfLife-10M Captions dataset, curated for this model.
computer-vision taxonomy biology clip knowledge-guided-machine-learning imageomics synthetic-captions
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Feb 4, 2026 - Python
ESIIL working group: Harmonizing Natural Methane Datasets using Knowledge Guided Machine Learning
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Sep 16, 2026 - R
Predict rarely measured soil properties (total N, CEC7) by learning the bounded parameters of known soil relations; spatial benchmark with QRF, TabM and TabICLv2 on public WoSIS data.
python pytorch uncertainty-quantification digital-soil-mapping pedometrics soil-science parameter-learning quantile-regression-forests crps hybrid-modelling probabilistic-prediction knowledge-guided-machine-learning spatial-cross-validation tabular-foundation-models tabicl pedotransfer-functions wosis cation-exchange-capacity soil-nitrogen
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Sep 30, 2026 - Python
Curated list of resources for AI in Remote Sensing: list of papers, dataset, tutorials exploring agricultural assets
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Oct 4, 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
website machine-learning academic transfer-learning computational-fluid-dynamics multi-task-learning kgml knowledge-guided-machine-learning
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Oct 26, 2022 - JavaScript
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