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GauravBh1010tt

DeepLearn

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

TutorialsML/AI fundamentalsPython
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Created 2017-05-20 · Updated 2026-10-13 · #9377 today
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GauravBh1010tt/DeepLearn is ranked 9,377 with 1,846 stars.

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GauravBh1010tt/DeepLearn is ranked 9,377 among these 8 peers; Mathews-Tom/Agentic-Design-Patterns is ranked 9,376.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryTutorials
SubcategoryML/AI fundamentals
Stars1,846
Forks348
Contributors2
Created date2017-05-20
Updated date2026-10-13
Stars in 1 day0
Stars in 7 days-1
Rank9,377
Previous rank9,418
Rank change41
7-day stars rank17,009
Previous 7-day stars rank17,009
7-day stars rank change0
Total stars rank6,794
Previous total stars rank6,790
Total stars rank change-4
CountryCanada
README summary

This repository contains implementation of following research papers on NLP, CV, ML, and deep learning. CV, transfer learning, representation learning. code [2] *Reasoning With Neural Tensor Networks for Knowledge Base Completion*. code [3] *Common Representation Learning Using Step-based Correlation Multi-Modal CNN*. CV, transfer learning, representation learning. code [4] ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. code) [5] Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. code [6] Combining Neural, Statistical and External

Features for Fake News Stance Identification. code) [7] WIKIQA: A Challenge Dataset for Open-Domain Question Answering. code [8] Siamese Recurrent Architectures for Learning Sentence Similarity. NLP, sentence similarity, deep learning. code) [9] Convolutional Neural Tensor Network Architecture for Community Question Answering. code [10] Map-Reduce for Machine Learning on Multicore. code [11] Teaching Machines to Read and Comprehend. code [12] Improved Representation Learning for Question Answer Matching. code [13] External features for community question answering. code [14] *Language Identification

and Disambiguation in Indian Mixed-Script*. code [15] *Construction of a Semi-Automated model for FAQ Retrieval via Short Message Service*. code Dependencies: The required dependencies are mentioned in requirement. I will also use **dl-text** modules for preparing the datasets. If you haven't use it, please do have a quick look at it.

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GauravBh1010tt/DeepLearn is compared with Mathews-Tom/Agentic-Design-Patterns, ranked 9,376 with 1,848 stars.

README

DeepLearn

Welcome to DeepLearn. This repository contains implementation of following research papers on NLP, CV, ML, and deep learning.

- Latest Update : Added _deeplearn_utils modules. Check the releases for description of new features.

[1] Correlation Neural Networks. CV, transfer learning, representation learning. code

[2] Reasoning With Neural Tensor Networks for Knowledge Base Completion. NLP, ML. code

[3] Common Representation Learning Using Step-based Correlation Multi-Modal CNN. CV, transfer learning, representation learning. code

[4] ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. NLP, deep learning, sentence matching. code

[5] Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. NLP, deep learning, CQA. code

[6] Combining Neural, Statistical and External Features for Fake News Stance Identification. NLP, IR, deep learning. code

[7] WIKIQA: A Challenge Dataset for Open-Domain Question Answering. NLP, deep learning, CQA. code

[8] Siamese Recurrent Architectures for Learning Sentence Similarity. NLP, sentence similarity, deep learning. code

[9] Convolutional Neural Tensor Network Architecture for Community Question Answering. NLP, deep learning, CQA. code

[10] Map-Reduce for Machine Learning on Multicore. map-reduce, hadoop, ML. code

[11] Teaching Machines to Read and Comprehend. NLP, deep learning. code

[12] Improved Representation Learning for Question Answer Matching. NLP, deep learning, CQA. code

[13] External features for community question answering. NLP, deep learning, CQA. code

[14] Language Identification and Disambiguation in Indian Mixed-Script. NLP, IR, ML. code

[15] Construction of a Semi-Automated model for FAQ Retrieval via Short Message Service. NLP, IR, ML. code

Dependencies:

The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it.

$ pip install -r requirements.txt
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