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DRS and other script I wrote for Iolite 4
Example python-based plugins for iolite4.
mineralML: Machine Learning for Probabilistic Mineral Classification
Stratigraphic Named Entity Recognition with Stanford CoreNLP
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Detecting rainfall-induced shallow landslides in data-sparse contexts is crucial for a comprehensive landslide disaster management plan.
Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us…
An open-source and powerful Information Extraction toolkit based on GPT (GPT for Information Extraction; GPT4IE for short)。Note: we set a default openai key in the tool, you can tell us if the key …
GloVe and BERT language models re-trained using geoscientific text.
Capricorn Distal Footprints project, geological sampling in the field
Label, clean and enrich text datasets with LLMs.
Jupyter notebooks for learning and advancing your use of EASI
Instruct-tune LLaMA on consumer hardware
Code and documentation to train Stanford's Alpaca models, and generate the data.
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Knowledge graphs generation from unstructured text.
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
A very simple framework for state-of-the-art Natural Language Processing (NLP)
High accuracy RAG for answering questions from scientific documents with citations