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1. Quantum-Hamiltonians Quantum-Hamiltonians Public

   Accompanying code for the paper "Learning Potentials of Quantum Systems using Deep Neural Networks" by Sehanobish et al and the followup work "Learning Full Configuration Interaction Electron Corre…

   HTML 9 3

2. BERT-CNN-models BERT-CNN-models Public

   Models that use BERT + Chinese Glyphs for NER

   Python 5 2

3. encoding_wasserstein_metrics encoding_wasserstein_metrics Public

   Using set encoders to encode Wasserstein Spaces

   Jupyter Notebook 2 2

4. hybrid-sampling hybrid-sampling Public

   Adaptation of Hybrid methods to softmax sampling. Code for some results and the general hybrid mechanisms for our work in https://openreview.net/pdf?id=EMigfE6ZeS

   Python 3

5. Fast-Attention Fast-Attention Public

   Repo for various RPE/Masking Mechanisms for low rank attention.

   Python 1

6. self-supervsed_edge_feats self-supervsed_edge_feats Public

   Forked from nealgravindra/self-supervsed_edge_feats

   code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>

   Jupyter Notebook