10

8

6

4

2


10.0

9.3
Keras

10.0

9.8
scikit-learn

10.0

10.0
tensorflow

9.8

9.3
xgboost

9.7

7.4
CNTK

9.6

8.4
gensim

36 Machine Learning packages and projects

  • Keras

    10.0 9.3 L2 Python
    Minimalist deep learning library for Python, running on top of Theano and Tensorflow.

  • scikit-learn

    10.0 9.8 L3 Python
    A Python module for machine learning built on top of SciPy.

  • tensorflow

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

  • xgboost

    9.8 9.3 L1 C++
    A scalable, portable, and distributed gradient boosting library.

  • CNTK

    9.7 7.4 L1 C++
    Microsoft Cognitive Toolkit

  • gensim

    9.6 8.4 L3 Python
    Topic Modelling for Humans.

  • PaddlePaddle

    9.5 9.9 L1 C++
    PArallel Distributed Deep LEarning

  • Prophet

    9.5 8.2 Jupyter Notebook
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  • TFLearn

    9.5 5.7 L3 Python
    Deep learning library featuring a higher-level API for TensorFlow.

  • NuPIC

    9.2 3.1 L3 Python
    Numenta Platform for Intelligent Computing.

  • srez

    8.6 0.0 L5 Python
    Image super-resolution through deep learning

  • Pylearn2

    8.4 0.0 L2 Python
    A Machine Learning library based on Theano.

  • PyBrain

    8.2 0.0 L4 Python
    Another Python Machine Learning Library.

  • Surprise

    8.2 4.1 L4 Python
    A Python recommender system library aimed towards researchers, teachers and students.

  • skflow

    8.0 0.0 L4 Python
    A simplified interface for TensorFlow (mimicking scikit-learn).

  • MLflow

    7.6 9.4 Python
    Open source platform for the machine learning lifecycle

  • LightFM

    7.6 4.1 L4 Python
    A Python implementation of a number of popular recommendation algorithms.

  • Clairvoyant

    7.3 0.0 L3 Python
    Software designed to identify and monitor social/historical cues for short term stock movement

  • Sacred

    7.1 8.9 Python
    Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  • python-recsys

    6.6 0.0 L4 Python
    A Python library for implementing a Recommender System.

  • pydeep

    6.4 0.0 L3 Python
    -Deep learning in python

  • Crab

    6.1 0.0 L2 Python
    A flexible, fast recommender engine.

  • hebel

    5.6 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python.

  • awesome-embedding-models

    5.5 4.8 Jupyter Notebook
    A curated list of awesome embedding models tutorials, projects and communities.

  • rwa

    4.1 0.0 L5 Python
    Machine Learning on Sequential Data Using a Recurrent Weighted Average

  • SciKit-Learn Laboratory

    3.8 8.8 Python
    SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

  • Feature Forge

    3.6 0.0 L4 Python
    A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

  • brew

    3.1 0.0 L4 Python
    Multiple Classifier Systems and Ensemble Learning Library in Python.

  • pdpipe

    2.8 5.3 Python
    Easy pipelines for pandas DataFrames.

  • MLP Classifier

    2.7 0.0 L4 Python
    A handwritten multilayer perceptron classifier using numpy.

  • vowpal_porpoise

    2.4 0.0 L3 C++
    A lightweight Python wrapper for Vowpal Wabbit.

  • seqeval

    2.2 6.8 Python
    Well-tested evaluation framework for named-entity recognition.

  • tfgraphviz

    1.3 0.0 L5 Python
    A simple graphviz wrapper to visualize a graph like TensorFlow & TensorBoard

  • nptyping

    1.0 5.3 Python
    Type hints for numpy

  • neptune-contrib

    0.7 8.2 Python
    Tools, helpers and everything else that helps you work with Neptune.

  • Simple GAN

    0.6 6.2 Python
    Attempt at implementation of a simple GAN using Keras
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