Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Code for "Transformer Networks for Trajectory Forecasting"

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Summary of Transformer applications for computer vision tasks.

Abstractive Text Summarization with Transformer networks implemented (from scratch) using Keras and Tensorflow

[PokerEvent Benchmark Dataset & SNN-ANN Baseline, IEEE TCDS 2025] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"

My study notes on the 'Deep Learning Specialization' offered by DeepLearning AI.

DGX spark optimized stock market prediction machine leanring and ai platform

HAMD-Net: A Biologically Informed Hybrid Attention Model for EEG Classification of Multiple Neurological Disorders

Details of certified courses covered by me. Includes notes and solutions to programming exercises.