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applied-deep-learning

Applied Deep Learning Course

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-document-understanding

A curated list of resources for Document Understanding (DU) topic

awesome-equivariant-network

Paper list for equivariant neural network

capsnet

Capsule Networks for Image Classification (MNIST Dataset)

cfnet

cropandweed-dataset

Information and scripts for the CropAndWeed Dataset

deeplearning

Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville

devnagari-handwritten-word-recongition-with-deep-learning

Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation into words or characters. Use CTC loss Function to train.

dnd-diko-wwwr

dren_tensorflow

DREN Tensorflow rotate mnist

easy21

Solutions to the programming assignment from David Silver's Reinforcement Learning course.

eeml_2021_excercises-pytorch-keras-jax

fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

g-cnn-orims

g-cnn-orit

gconv_experiments

Experiments with Group Equivariant Convolutional Networks

generative-adverserial-networks-gans-

group_equivariant_capsules_pytorch

Pytorch implementation of Group Equivariant Capsule Networks

handwritten-line-text-recognition-using-deep-learning-with-tensorflow

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

handwritten-text-recognition-for-apache-mxnet

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.

hexaconv

hrnet-image-classification

Train the HRNet model on ImageNet

imageprocessing_c_c-

introduction_to_deep_learning_c7082

Sourced from the Arya, Sunny; Singh, Biswabiplab (2020), “Wheat nitrogen deficiency and leaf rust image dataset”, Mendeley Data. Image dataset consisting of 1459 images of wheat leaves, split into 2 subsets 600 in the nitrogen deficent group (300 deficient, 300 control) and 859 leaves infected with leaf rust(368 infrcted, 491 conrtol). The aim of t

jaspreetsinghmaan.github.io

keras-io

Keras documentation, hosted live at keras.io

lidar

lpf-defense

Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE

machine-learning-classifiers