| harujoh/KelpNet |
230 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
apache-2.0 |
C# |
| Pure C# machine learning framework |
| cbaziotis/datastories-semeval2017-task4 |
171 |
|
0 |
0 |
almost 8 years ago |
0 |
|
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". |
| kootenpv/TwitterQA |
150 |
|
0 |
0 |
over 9 years ago |
0 |
|
|
apache-2.0 |
Python |
| Deep learning based Twitter Imposter Chatbot |
| napsternxg/TwitterNER |
134 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
gpl-3.0 |
Jupyter Notebook |
| Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html |
| danielegrattarola/twitter-sentiment-cnn |
133 |
|
0 |
0 |
about 8 years ago |
0 |
|
5 |
|
Python |
| An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets. |
| nikicc/twitter-emotion-recognition |
116 |
|
0 |
0 |
almost 5 years ago |
0 |
|
5 |
agpl-3.0 |
Python |
| Models for predicting emotions from English tweets. |
| BranchMetrics/Branch-Example-Deep-Linking-Branchster-Android |
96 |
|
0 |
0 |
over 2 years ago |
0 |
|
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. |
| wondonghyeon/protest-detection-violence-estimation |
87 |
|
0 |
0 |
about 8 years ago |
0 |
|
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) |
| zackthoutt/wine-deep-learning |
78 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Exploring applications of deep learning to the world of wine |
| rishabhmisra/News-Headlines-Dataset-For-Sarcasm-Detection |
68 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
|
| High quality dataset for the task of Sarcasm Detection |
