{"id":15026972,"url":"https://github.com/gauravbh1010tt/deeplearn","last_synced_at":"2025-05-15T20:00:49.412Z","repository":{"id":21182094,"uuid":"91879775","full_name":"GauravBh1010tt/DeepLearn","owner":"GauravBh1010tt","description":"Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.","archived":false,"fork":false,"pushed_at":"2022-12-04T23:59:48.000Z","size":31170,"stargazers_count":1821,"open_issues_count":13,"forks_count":352,"subscribers_count":110,"default_branch":"master","last_synced_at":"2025-03-16T12:26:52.939Z","etag":null,"topics":["audio-processing","computer-vision","deep-learning","nlp"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/GauravBh1010tt.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-05-20T09:46:28.000Z","updated_at":"2025-03-06T07:26:06.000Z","dependencies_parsed_at":"2023-01-13T09:46:41.114Z","dependency_job_id":null,"html_url":"https://github.com/GauravBh1010tt/DeepLearn","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GauravBh1010tt%2FDeepLearn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GauravBh1010tt%2FDeepLearn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GauravBh1010tt%2FDeepLearn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GauravBh1010tt%2FDeepLearn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GauravBh1010tt","download_url":"https://codeload.github.com/GauravBh1010tt/DeepLearn/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254414457,"owners_count":22067263,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["audio-processing","computer-vision","deep-learning","nlp"],"created_at":"2024-09-24T20:05:32.036Z","updated_at":"2025-05-15T20:00:48.811Z","avatar_url":"https://github.com/GauravBh1010tt.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DeepLearn\n\nWelcome to DeepLearn. This repository contains implementation of following research papers on NLP, CV, ML, and deep learning. \n\u003c!--- \nVisit my blog for more details - [Deeplearn](http://deeplearn-ai.com/deeplearn/)\n--\u003e\n\n```diff\n- Latest Update : Added _deeplearn_utils modules. Check the releases for description of new features.\n```\n\n[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)\n\n[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)\n\n[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)\n\n[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))\n\n[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\u0026rep=rep1\u0026type=pdf). NLP, deep learning, CQA. [code](http://github.com/GauravBh1010tt/DeepLearn/tree/master/TrecQA_CNN%2BSim)\n\n[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))\n\n[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)\n\n[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))\n\n[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)\n\n[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)\n\n[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)\n\n[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)\n\n[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)\n\n[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)\n\n[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)\n\n### Dependencies:\nThe 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. \n\n```python\n$ pip install -r requirements.txt\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgauravbh1010tt%2Fdeeplearn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgauravbh1010tt%2Fdeeplearn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgauravbh1010tt%2Fdeeplearn/lists"}