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1. Dispersion-Measure-FRBs Dispersion-Measure-FRBs Public

   Deep learning-based regression model that directly predicts the Dispersion Measure from raw or lightly processed time–frequency radio spectrograms of FRBs

   Python

2. In-Context-Learning-in-MLPs In-Context-Learning-in-MLPs Public

   Researched on simple MLPs which perform in-context learning without attention by memorizing task-specific inputs rather than learning generalizable algorithms

   Python

3. papers papers Public

   some models that I implemented from scratch replicating the papers

   Python

4. EV-battery-degradation EV-battery-degradation Public

   Training LSTM model for predicting EV battery state of health (SOH)

   Jupyter Notebook

5. activation-func-for-transformers activation-func-for-transformers Public

   comparing activation functions to use in transformer models

   Python

6. research-study-on-CNNs-and-ViTs research-study-on-CNNs-and-ViTs Public

   this is my personal research on when can Vision transformer model outperform CNN models

   Python