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1. corneliusboehm/kbcht-clustering corneliusboehm/kbcht-clustering Public

   Implementation of the KBCHT clustering algorithm.

   Python 1 1

2. goldeneye goldeneye Public

   Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.

   Python 2

3. Waikato/moa Waikato/moa Public

   MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detecti…

   Java 614 355

4. GNOME/gimp GNOME/gimp Public

   Read-only mirror of https://gitlab.gnome.org/GNOME/gimp

   C 4.9k 682

5. josephmisiti/awesome-machine-learning josephmisiti/awesome-machine-learning Public

   A curated list of awesome Machine Learning frameworks, libraries and software.

   Python 65.9k 14.6k

6. dmlc/xgboost dmlc/xgboost Public

   Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

   C++ 26.3k 8.7k