Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Deep_learning_nlp | 359 | 4 years ago | Jupyter Notebook | |||||||
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP | ||||||||||
Unsupervised Aspect Extraction | 230 | 4 years ago | 13 | apache-2.0 | Python | |||||
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction" | ||||||||||
Datastories Semeval2017 Task4 | 171 | 6 years ago | 8 | mit | Python | |||||
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis". | ||||||||||
Hierarchical Sentiment | 96 | 4 years ago | 1 | mit | Python | |||||
Hierarchical Models for Sentiment Analysis in Pytorch | ||||||||||
Algorithm Whiteboard Resources | 78 | 3 years ago | apache-2.0 | Jupyter Notebook | ||||||
this is where we share notebooks/projects used in your youtube channel | ||||||||||
Auto_cliwc | 74 | 6 years ago | 3 | mit | Python | |||||
Code for Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention (AAAI18) | ||||||||||
Positional Encoding | 63 | 6 years ago | 1 | Jupyter Notebook | ||||||
Encoding position with the word embeddings. | ||||||||||
Deepspamreview Detection Of Fake Reviews On Online Review Platforms Using Deeplearning Architectures | 25 | 2 years ago | Jupyter Notebook | |||||||
DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems. | ||||||||||
Datastories Semeval2017 Task6 | 19 | 6 years ago | 1 | Python | ||||||
Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison". | ||||||||||
Concise Ipython Notebooks For Deep Learning | 17 | 5 years ago | Jupyter Notebook | |||||||
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets. |