Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Deep Learning Nlp Rl Papers | 286 | 4 years ago | Python | |||||||
Recent Deep Learning papers in NLU and RL | ||||||||||
Kelpnet | 230 | 4 months ago | 1 | apache-2.0 | C# | |||||
Pure C# machine learning framework | ||||||||||
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". | ||||||||||
Twitterqa | 150 | 7 years ago | n,ull | apache-2.0 | Python | |||||
Deep learning based Twitter Imposter Chatbot | ||||||||||
Twitterner | 134 | 2 years ago | 1 | gpl-3.0 | Jupyter Notebook | |||||
Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html | ||||||||||
Twitter Sentiment Cnn | 133 | 6 years ago | 5 | Python | ||||||
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets. | ||||||||||
Twitter Emotion Recognition | 116 | 3 years ago | 5 | agpl-3.0 | Python | |||||
Models for predicting emotions from English tweets. | ||||||||||
Branch Example Deep Linking Branchster Android | 96 | 5 months ago | 6 | mit | Java | |||||
Branch Metrics Example application for Android mobile deep linking / deeplinking - the Branchster app. Branch helps mobile apps grow with deep links / deeplinks that power referral systems, sharing links and invites with full attribution and analytics. | ||||||||||
Protest Detection Violence Estimation | 87 | 6 years ago | 5 | mit | Jupyter Notebook | |||||
Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017) | ||||||||||
Wine Deep Learning | 78 | 4 years ago | Jupyter Notebook | |||||||
Exploring applications of deep learning to the world of wine |