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Gavagai
- Stockholm
- https://www.linkedin.com/in/filip-cornell/
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PyTorch Package For Quasimetric Learning
Low latency JSON generation using LLMs ⚡️
Repository for RuDiK, a system for discovering declarative logical rules over RDF Knowledge Bases
EmEL++ is a geometric approach to generate embeddings for the description logic EL++
Precision Medicine Knowledge Graph (PrimeKG)
You like pytorch? You like micrograd? You love tinygrad! ❤️
Code repository for the "Ontology Completion with Graph-based Machine Learning: A Comprehensive Evaluation" paper.
Code that implements efficient knowledge graph extraction from the textual descriptions
Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
An AI agent for interacting with a computer using the graphical user interface
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
The power of GPT4All mixed with the power of pandas
The machine learning toolkit for time series analysis in Python
Scalable and fast non-redundant rule application for link prediction
A Large-Scale Company Relation Graph for Investment Industry