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1. DK-for-TST DK-for-TST Public

   This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

   Python 47 10

2. MetaTesting MetaTesting Public

   This is the source code for Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data (NeurIPS2021).

   Python 7 1

3. SAMMD SAMMD Public

   Forked from Sjtubrian/SAMMD

   This is the source code for Maximum Mean Discrepancy is Aware of Adversarial Attacks (ICML2021).

   Python

4. TOHAN TOHAN Public

   Forked from Haoang97/TOHAN

   Source code for NeurIPS 2021 paper "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation".

   Python

5. AsaHIXx/CTCT AsaHIXx/CTCT Public

   This repo contains source code and datasets used in code for Deep transfer learning enables lesion tracing of circulating tumor cells(CTC-Tracer), published in Nature Communications (2022).

   Python 9 3

6. Openset_Learning_AOSR Openset_Learning_AOSR Public

   Forked from Anjin-Liu/Openset_Learning_AOSR

   This is the source code for Learning Bounds for Open-set Learning (ICML2021).

   Jupyter Notebook