| Azure/Embarrassingly-Parallel-Image-Classification |
44 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
other |
Python |
| Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters |
| YCG09/xgbspark-text-classification |
43 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
apache-2.0 |
Scala |
| XGBoost on Spark for Chinese Text Classification |
| yinxusen/AMLI |
35 |
|
0 |
0 |
almost 11 years ago |
0 |
|
1 |
other |
Scala |
| pedrovgs/Roma |
33 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
gpl-3.0 |
Scala |
| Spark project written in Scala used to perform real time sentiment analysis on top of Twitter's streaming API |
| uosdmlab/nsmc-zeppelin-notebook |
24 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
|
| Movie review dataset Word2Vec & sentiment classification Zeppelin notebook |
| hiejulia/Data-pipeline-project |
18 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Data pipeline project |
| pan5431333/pyoptree |
15 |
|
0 |
0 |
over 5 years ago |
11 |
May 03, 2019 |
1 |
|
Python |
| Python Implementation of Bertsimas's "Optimal classification trees". |
| tizfa/sparkboost |
14 |
|
0 |
0 |
almost 10 years ago |
0 |
|
1 |
apache-2.0 |
Java |
| A distributed implementation of AdaBoost.MH and MP-Boost using Apache Spark |
| AsoStrife/Leveraging-Cognitive-Computation-Text-Extraction-Tools-to-Detect-Emotions-from-Facial-Expressions |
13 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
PHP |
| This project is a multi-class classification system that can detect whether a given image contains a face expression. If it does, it is classified according to six possible emotions: sadness, anger, surprise, happiness, disgust, fear. |
| lorenzo-stacchio/Big_Data_Course_Rimini_2021 |
11 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Questa repository contiene tutto il materiale didattico utilizzato durante il corso di "Laboratorio Big Data" in collaborazione con il comune di Rimini. |
