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1. Deep-Contrastive-Metric-Learning-Method-to-Detect-Polymicrogyria-in-Pediatric-Brain-MRI Deep-Contrastive-Metric-Learning-Method-to-Detect-Polymicrogyria-in-Pediatric-Brain-MRI Public

   A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI

   Jupyter Notebook 4

2. ET-Plan-Bench/ET-Plan-Bench ET-Plan-Bench/ET-Plan-Bench Public

   [IROS 2025] ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models

   Python 2 1

3. Deep_SVDD_VAE_TF Deep_SVDD_VAE_TF Public

   Unofficial implementation of 2021 Neurocomputing paper "VAE-based Deep SVDD for anomaly detection" TensorFlow 2.0 version

   Python 9 2

4. BraTS_Dataset_classification BraTS_Dataset_classification Public

   Transform BraTS Dataset tumor segmentation task to tumor binary classification task, may be suitable for transfer learning on other brain-related small dataset classification tasks

   Jupyter Notebook 3

5. AI_Study_Resources_Combo AI_Study_Resources_Combo Public

   AI Study Resources which I have learnt

   3

6. OCTID_TF2 OCTID_TF2 Public

   Unofficial implementation of 2021 Bioinformatics Paper "OCTID: a one-class learning-based Python package for tumor image detection"

   Jupyter Notebook