Open-source code maintained by OdenseNLP.
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Pipeline for building and evaluating psychologically informed refusal behavior in large language models through data creation, prompting, fine-tuning, and evaluation.
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Framework for evaluating memorization and propensity-aware memorization of training data in large language models.
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Source code for creating the Danish Corpus of Linguistic Acceptability, designed to evaluate Danish linguistic acceptability with real-world errors.
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Production-ready implementation of 1.58-bit layers for quantization-aware training and efficient inference.
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Swiss-army-knife style toolkit for scripted tensor surgery on model checkpoints, with YAML plans, CLI workflows, and a Web UI.
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A communication framework that optimizes distributed AI training by reducing latency bottlenecks and handling heterogeneous clusters.
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A streamlined framework for evaluating language generation quality in two steps: generation and automatic evaluation.
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Swiss-army-knife toolkit for transforming and processing machine learning datasets, including large-scale format conversion and splitting.
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Utility for grooming and managing machine learning job queues.
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AI-assisted analyser for projective techniques in qualitative health research.
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Benchmark and tooling for evaluating LLM understanding of Danish culture using closed question-answer pairs grounded in the Danish Culture Canon.
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Pretraining framework behind DFM Mimir for efficient 0.6B–1B text models, combining hierarchical recurrence, PrefixLM packing, distributed training, evaluation, and checkpoint conversion tooling.
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Offline-first field-notes app for qualitative research, supporting photo, video, audio, and text capture with project organization, location mapping, exports, and self-hosted Nextcloud backup.
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