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  • University of Cambridge
  • UK
  • 15:22 (UTC)

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  1. astroautomata/SymTorch astroautomata/SymTorch Public

    Deep Learning Interpretability with Symbolic Regression

    Python 269 16

  2. astroautomata/SymTorch_symbolic_distillation_GNNs astroautomata/SymTorch_symbolic_distillation_GNNs Public

    Reproducing the main results from 'Discovering Symbolic Models from Deep Learning with Inductive Biases' by Cranmer et. al. (2020) using the SymTorch package.

    Jupyter Notebook 2 1

  3. LoRA_Qwen LoRA_Qwen Public

    Applying Low-Rank Adaptation (LoRA) to tune Qwen2.5 0.5B Instruct LLM for time-series forecasting. DIS MPhil Deep Learning Courserwork.

    Jupyter Notebook 1

  4. astroautomata/LLM_PCA astroautomata/LLM_PCA Public

    Jupyter Notebook 7