hstm3105

Undergraduate at IIT Roorkee, Deep learning enthusiast

IIT Roorkee

Pinned Repositories

2015lab1
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approximate-L2-norm
Approximating the L2 norm for a multi-dimensional vector upto 100 dimensions using neural network
Language:Jupyter Notebook10
Autoencoders
Implementation of different types of autoencoders in Keras
Language:Jupyter Notebook10
CNN-applications
Convolutional neural network in Keras
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deep-dream
This repository contains the implementation of Deep Dream in Keras framework
Language:Jupyter Notebook10
dmn-plus
Pytorch implementation and tutorial of dynamic memory network plus
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neural-style-transfer
Implementataion of Neural Style Transfer by Gatys et al. 2014 in Keras framework
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Siamese
A Keras implementation of Siamese neural net
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dmn-plus
A Pytorch tutorial for implementation of Dynamic memory Network Plus
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ntm-pytorch
Neural Turing Machines in Pytorch.
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hstm3105/approximate-L2-norm
Approximating the L2 norm for a multi-dimensional vector upto 100 dimensions using neural network
Language:Jupyter Notebook10
hstm3105/Autoencoders
Implementation of different types of autoencoders in Keras
Language:Jupyter Notebook10
hstm3105/CNN-applications
Convolutional neural network in Keras
Language:Jupyter Notebook1 0 00
hstm3105/deep-dream
This repository contains the implementation of Deep Dream in Keras framework
Language:Jupyter Notebook10
hstm3105/Siamese
A Keras implementation of Siamese neural net
Language:Python10
hstm3105/2015lab1
Language:Jupyter Notebook00
hstm3105/dmn-plus
Pytorch implementation and tutorial of dynamic memory network plus
Language:Jupyter Notebook00
hstm3105/neural-style-transfer
Implementataion of Neural Style Transfer by Gatys et al. 2014 in Keras framework
Language:Jupyter Notebook0 0 00
hstm3105/Webscraping_trials