Biggis Landuse
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Embarrassingly Parallel Image Classification | 44 | 7 years ago | 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 | ||||||||||
| Xgbspark Text Classification | 43 | 6 years ago | apache-2.0 | Scala | ||||||
| XGBoost on Spark for Chinese Text Classification | ||||||||||
| Amli | 35 | 9 years ago | 1 | other | Scala | |||||
| Roma | 33 | 3 years ago | gpl-3.0 | Scala | ||||||
| Spark project written in Scala used to perform real time sentiment analysis on top of Twitter's streaming API | ||||||||||
| Nsmc Zeppelin Notebook | 24 | 7 years ago | ||||||||
| Movie review dataset Word2Vec & sentiment classification Zeppelin notebook | ||||||||||
| Data Pipeline Project | 18 | 2 years ago | Jupyter Notebook | |||||||
| Data pipeline project | ||||||||||
| Pyoptree | 15 | 4 years ago | 11 | May 03, 2019 | 1 | Python | ||||
| Python Implementation of Bertsimas's "Optimal classification trees". | ||||||||||
| Sparkboost | 14 | 8 years ago | 1 | apache-2.0 | Java | |||||
| A distributed implementation of AdaBoost.MH and MP-Boost using Apache Spark | ||||||||||
| Leveraging Cognitive Computation Text Extraction Tools To Detect Emotions From Facial Expressions | 13 | 6 years ago | 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. | ||||||||||
| Big_data_course_rimini_2021 | 11 | 2 years ago | Jupyter Notebook | |||||||
| Questa repository contiene tutto il materiale didattico utilizzato durante il corso di "Laboratorio Big Data" in collaborazione con il comune di Rimini. | ||||||||||
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