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1. AsymDSD AsymDSD Public

   [NeurIPS '25] Asymmetric Dual Self-Distillation (AsymDSD) for 3D representation learning

   Python 5 2

2. Analytical-Displacement-Mapping Analytical-Displacement-Mapping Public

   Implementation of analytic displacement mapping using hardware tessellation based on Nießner & Loop (2013). The model is extended with procedural generation of displacement textures.

   C++ 3

3. HilbertSFC HilbertSFC Public

   Ultra-fast 2D & 3D Hilbert curve kernels in Python. JIT compiled, branchless, L1-cache-friendly lookup tables, loop unrolling, SIMD, and multi-threading.

   Python 8 1

4. Hydrodynamic-Imaging Hydrodynamic-Imaging Public

   Hydrodynamic image with the artificial lateral line using physics-informed informed neural networks and other proven methods in 2D dipole localization.

   Python 2

5. NLP-Explanations-for-NLI NLP-Explanations-for-NLI Public

   Fine-tuning and evaluation of a language model for explanation generation of natural language inference. Fine-tuning scripts for a pre-trained T5 model supporting both full model fine-tuning as wel…

   Jupyter Notebook 2

6. MAS-Trust-in-Exchange MAS-Trust-in-Exchange Public

   Multi-agent system for modeling trust in market exchanges.

   Python 1