| viscloud/saf |
20 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
apache-2.0 |
C++ |
| SAF: Streaming Analytics Framework |
| hiejulia/Data-pipeline-project |
18 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Data pipeline project |
| bede/tictax |
18 |
|
1 |
0 |
almost 4 years ago |
3 |
August 06, 2018 |
7 |
gpl-3.0 |
Python |
| Streaming sequence classification with web services ✓📌 |
| SalikLP/classification-of-encrypted-traffic |
12 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Python |
| This repository contains the code used and developed during a master thesis at DTU Compute in 2018 |
| mjaglan/PyTextSentiment |
8 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| Emotion Detection & Classification of Tweets Using Streaming APIs. [NLTK] [Scikit Learn] [Twitter Streaming API] [Bing API] |
| peterlee0127/Streaming-Pipeline |
7 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Scala |
| A real-time text classification based on Kafka and Spark. |
| DavideNardone/TwitterSentimentAnalysis |
6 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Python |
| A Spark Streaming implementation for Online Twitter Sentiment Analysis. |
| qiyuangong/image_classification_redis |
6 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Image Classification based on Analytics-Zoo and Redis |
| Onixaz/Flask-Coral-Edge-TPU |
6 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Python |
| Just a simple Flask web app for Coral Edge TPU. For streaming and testing your object detection/classification models. |
| falaybeg/SparkStreaming-Network-Anomaly-Detection |
5 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning. |
