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digital_image_processing_assignments

All assignments completed as a part of my Digital Image Processing Course

distil-bilstm

Scripts to train a bidirectional LSTM with knowledge distillation from BERT

dl-colab-notebooks

Try out deep learning models online on Google Colab

docs

TensorFlow documentation

dssd

Pytorch implemention of DSSD (Deconvolutional Single Shot Detector)

edgnn

Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"

embedded-vision-for-mvs

Embedded Vision for MVS in IoT

embedded_gcnn

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

emoji-cheat-sheet

A markdown version emoji cheat sheet

emotion-age-gender-detector

Emotion-Age-Gender-Detector is used to predict emotion, age and gender after detecting faces from images, videos and real-time video stream.

emotion-intensity-classification

Python implementation for classifying tweets into emotion intensities

fcn-for-semantic-segmentation

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

fiftyone

The open-source tool for building high-quality datasets and computer vision models

fire-app-builder

Fire App Builder is a framework for building java media apps for Fire TV, allowing you to add your feed of media content to a configuration file and build an app to browse and play it quickly.

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

frcnn-from-scratch-with-keras

:collision:Faster R-CNN from scratch written with Keras

gama-gat

Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

google_refexp_toolbox

The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-based-nn

Graph Convolutional Networks (GCNs)

graph-embedding-based-recommendation

graph-networks

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

graph-neural-networks

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

graphcut

Graph cut image segmentation with custom GUI.

graph_2d_cnn

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'

graph_classification

Learning from graph data using Keras

graph_nets

Build Graph Nets in Tensorflow