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https://github.com/gauravbh1010tt/deeplearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
https://github.com/gauravbh1010tt/deeplearn
audio-processing computer-vision deep-learning nlp
Last synced: 30 days ago
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Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
- Host: GitHub
- URL: https://github.com/gauravbh1010tt/deeplearn
- Owner: GauravBh1010tt
- License: mit
- Created: 2017-05-20T09:46:28.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2022-12-04T23:59:48.000Z (almost 2 years ago)
- Last Synced: 2024-10-14T10:21:57.076Z (30 days ago)
- Topics: audio-processing, computer-vision, deep-learning, nlp
- Language: Python
- Homepage:
- Size: 29.7 MB
- Stars: 1,820
- Watchers: 112
- Forks: 353
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DeepLearn
Welcome to DeepLearn. This repository contains implementation of following research papers on NLP, CV, ML, and deep learning.
```diff
- Latest Update : Added _deeplearn_utils modules. Check the releases for description of new features.
```
[1] [*Correlation Neural Networks*](http://arxiv.org/pdf/1504.07225.pdf). CV, transfer learning, representation learning. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/CorrNet)
[2] [*Reasoning With Neural Tensor Networks for Knowledge Base Completion*](http://nlp.stanford.edu/pubs/SocherChenManningNg_NIPS2013.pdf). NLP, ML. [code](http://github.com/GauravBh1010tt/DeepLearn/tree/master/neural%20tensor%20network)
[3] [*Common Representation Learning Using Step-based Correlation Multi-Modal CNN*](http://arxiv.org/abs/1711.00003). CV, transfer learning, representation learning. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/corrMCNN)
[4] [ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs](https://arxiv.org/pdf/1512.05193.pdf). NLP, deep learning, sentence matching. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/Attention_Based_CNN%20(ABCNN))
[5] [Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.723.6492&rep=rep1&type=pdf). NLP, deep learning, CQA. [code](http://github.com/GauravBh1010tt/DeepLearn/tree/master/TrecQA_CNN%2BSim)
[6] [Combining Neural, Statistical and External Features for Fake News Stance Identification](http://deeplearn-ai.com/wp-content/uploads/2018/03/www-final.pdf). NLP, IR, deep learning. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/fake%20news%20challenge%20(FNC-1))
[7] [WIKIQA: A Challenge Dataset for Open-Domain Question Answering](http://aclweb.org/anthology/D15-1237). NLP, deep learning, CQA. [code](http://github.com/GauravBh1010tt/DeepLearn/tree/master/WikiQA_CNN%2BFeat)
[8] [Siamese Recurrent Architectures for Learning Sentence Similarity](http://www.mit.edu/~jonasm/info/MuellerThyagarajan_AAAI16.pdf). NLP, sentence similarity, deep learning. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/MaLSTM%20(Siamese))
[9] [Convolutional Neural Tensor Network Architecture for Community Question Answering](https://www.ijcai.org/Proceedings/15/Papers/188.pdf). NLP, deep learning, CQA. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/convolution%20neural%20tensor%20network)
[10] [Map-Reduce for Machine Learning on Multicore](http://papers.nips.cc/paper/3150-map-reduce-for-machine-learning-on-multicore.pdf). map-reduce, hadoop, ML. [code](https://github.com/GauravBh1010tt/Deep-Cloud)
[11] [Teaching Machines to Read and Comprehend](https://arxiv.org/pdf/1506.03340.pdf). NLP, deep learning. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/Attention_recurrent_models)
[12] [Improved Representation Learning for Question Answer Matching](http://www.aclweb.org/anthology/P16-1044). NLP, deep learning, CQA. [code](https://github.com/GauravBh1010tt/DeepLearn/tree/master/Attention_recurrent_models)
[13] [External features for community question answering](http://maroo.cs.umass.edu/getpdf.php?id=1281). NLP, deep learning, CQA. [code](http://github.com/GauravBh1010tt/DeepLearn/tree/master/WikiQA_CNN%2BFeat)
[14] [*Language Identification and Disambiguation in Indian Mixed-Script*](http://link.springer.com/chapter/10.1007%2F978-3-319-28034-9_14). NLP, IR, ML. [code](http://github.com/GauravBh1010tt/Auto-correction-for-transliterated-queries)
[15] [*Construction of a Semi-Automated model for FAQ Retrieval via Short Message Service*](http://dl.acm.org/citation.cfm?doid=2838706.2838717). NLP, IR, ML. [code](http://github.com/GauravBh1010tt/Auto-correction-for-transliterated-queries/tree/master/bi-gram%20markov%20model)
### Dependencies:
The required dependencies are mentioned in requirement.txt. I will also use **[dl-text](https://github.com/GauravBh1010tt/DL-text)** modules for preparing the datasets. If you haven't use it, please do have a quick look at it.
```python
$ pip install -r requirements.txt
```