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Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Theano and Scikit Learn.

Home Page: http://deeplearn-ai.com

License: Apache License 2.0

Python 100.00%

deeplearn's Introduction

DeepLearn

Welcome to DeepLearn. This repository contains implementation of following research papers on NLP, CV, ML, and deep learning. Visit my blog for more details - Deeplearn

[1] Correlation Neural Networks, S. Chander, et al. In Neural Computation, 2015. blog-post || code

[2] Reasoning With Neural Tensor Networks for Knowledge Base Completion, R. Socher, et al. In NIPS, 2014. blog-post || code

[3] Common Representation Learning Using Step-based Correlation Multi-Modal CNN. G. Bhatt, et al. In ACPR, 2017. code

[4] Language Identification and Disambiguation in Indian Mixed-Script G. Bhatt, et al. In ICDCIT-2016. blog-post || code

[5] Construction of a Semi-Automated model for FAQ Retrieval via Short Message Service G. Bhatt, et al. In FIRE-2015. code

Dependencies:

Install the following packages for using the project:

pip install nltk
pip install keras
pip install tensorflow
pip install theano
pip install h5py
pip install sklearn

deeplearn's People

Contributors

gauravbh1010tt avatar piyush-j avatar

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