10

8

6

4

2


10.0

10.0
tensorflow

9.9

9.6
scikit-learn

9.8

9.8
Keras

9.8

10.0
CNTK

9.7

9.0
xgboost

9.4

8.8
TFLearn

27 Machine Learning packages and projects

  • tensorflow

    10.0 10.0 L1 C++
    Computation using data flow graphs for scalable machine learning

  • scikit-learn

    9.9 9.6 L3 Python
    A Python module for machine learning built on top of SciPy.

  • Keras

    9.8 9.8 L2 Python
    Minimalist deep learning library for Python, running on top of Theano and Tensorflow.

  • CNTK

    9.8 10.0 L1 C++
    Microsoft Cognitive Toolkit

  • xgboost

    9.7 9.0 L1 C++
    A scalable, portable, and distributed gradient boosting library.

  • TFLearn

    9.4 8.8 L3 Python
    Deep learning library featuring a higher-level API for TensorFlow.

  • NuPIC

    9.4 9.4 L3 Python
    Numenta Platform for Intelligent Computing.

  • gensim

    9.4 9.6 L3 Python
    Topic Modelling for Humans.

  • PaddlePaddle

    9.4 9.9 L1 C++
    PArallel Distributed Deep LEarning

  • srez

    8.9 2.9 L5 Python
    Image super-resolution through deep learning

  • Pylearn2

    8.7 4.8 L2 Python
    A Machine Learning library based on Theano.

  • Prophet

    8.6 8.1 Jupyter Notebook
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  • PyBrain

    8.5 0.0 L4 Python
    Another Python Machine Learning Library.

  • skflow

    8.5 1.1 L4 Python
    A simplified interface for TensorFlow (mimicking scikit-learn).

  • pydeep

    6.9 0.0 L3 Python
    -Deep learning in python

  • python-recsys

    6.7 0.0 L4 Python
    A Python library for implementing a Recommender System.

  • Crab

    6.3 0.0 L2 Python
    A flexible, fast recommender engine.

  • Clairvoyant

    6.2 7.6 L3 Python
    Software designed to identify and monitor social/historical cues for short term stock movement

  • hebel

    6.1 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python.

  • LightFM

    5.9 6.8 L4 Python
    A Python implementation of a number of popular recommendation algorithms.

  • Surprise

    4.7 8.9 L4 Python
    A Python recommender system library aimed towards researchers, teachers and students.

  • rwa

    4.3 8.3 L5 Python
    Machine Learning on Sequential Data Using a Recurrent Weighted Average

  • Feature Forge

    3.3 3.2 L4 Python
    A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

  • MLP Classifier

    2.4 1.7 L4 Python
    A handwritten multilayer perceptron classifier using numpy.

  • vowpal_porpoise

    2.3 0.0 L3 C++
    A lightweight Python wrapper for Vowpal Wabbit.

  • brew

    2.1 3.9 L4 Python
    Multiple Classifier Systems and Ensemble Learning Library in Python.

  • tfgraphviz

    0.6 4.5 L5 Python
    A simple graphviz wrapper to visualize a graph like TensorFlow & TensorBoard

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