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Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
PyTorch implementation of the paper - Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution
Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)
Single run action detector on video stream data
Implementation of Handwritten Text Recognition Systems using TensorFlow
Audio system using 1D CNN and 2D parallel CNN and CNN using Transformer By studying numerous vocal and speech patterns, this project proposes an automated technique to recognizing human emotions.
A Computationally Efficient HybridSN with Inception Model