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] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition"
My notes and solutions for the 'Deep Learning Specialization' by DeepLearningAI,
Details of certified courses covered by me. Includes notes and solutions to programming exercises.
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