imbalanced-learn Alternatives

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Open Source

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.

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NumPy is the fundamental package for scientific computing with Python

Open Source

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

The DimML programming language enables users to run any data solution on any website with only a single line of code.

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Open Source

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Open Source

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Open Source

OpenCV is the world's biggest computer vision library

Open Source

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.

WEKA is a set of powerful data mining tools that run on Java.