10

8

6

4

2


10.0

8.1
Keras

10.0

10.0
tensorflow

9.9

9.8
scikit-learn

9.8

9.3
xgboost

9.7

5.3
CNTK

9.6

7.8
gensim

39 Machine Learning packages and projects

  • Keras

    10.0 8.1 L2 Python
    Minimalist deep learning library for Python, running on top of Theano and Tensorflow.

  • tensorflow

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

  • scikit-learn

    9.9 9.8 L3 Python
    A Python module for machine learning built on top of SciPy.

  • xgboost

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

  • CNTK

    9.7 5.3 L1 C++
    Microsoft Cognitive Toolkit

  • gensim

    9.6 7.8 L3 Python
    Topic Modelling for Humans.

  • PaddlePaddle

    9.6 9.9 L1 C++
    PArallel Distributed Deep LEarning

  • TFLearn

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

  • Prophet

    9.5 8.5 Jupyter Notebook
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  • NuPIC

    9.2 1.0 L3 Python
    Numenta Platform for Intelligent Computing.

  • MLflow

    9.0 9.5 Python
    Open source platform for the machine learning lifecycle

  • H2O

    9.0 9.8 Java
    Open Source Fast Scalable Machine Learning Platform.

  • srez

    8.6 0.0 L5 Python
    Image super-resolution through deep learning

  • Surprise

    8.4 5.7 L4 Python
    A Python recommender system library aimed towards researchers, teachers and students.

  • Pylearn2

    8.3 0.0 L2 Python
    A Machine Learning library based on Theano.

  • PyBrain

    8.1 0.0 L4 Python
    Another Python Machine Learning Library.

  • skflow

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

  • LightFM

    7.9 2.3 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

    7.3 8.0 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

  • Metrics

    6.3 0.0 Python
    Machine learning evaluation metrics.

  • Crab

    6.1 0.0 L2 Python
    A flexible, fast recommender engine.

  • awesome-embedding-models

    6.0 0.3 Jupyter Notebook
    A curated list of awesome embedding models tutorials, projects and communities.

  • hebel

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

  • 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

    3.7 0.0 L4 Python
    A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

  • pdpipe

    3.5 8.7 Python
    Easy pipelines for pandas DataFrames.

  • karateclub

    3.5 9.8 Python
    A general purpose community detection and network embedding library for research built on NetworkX.

  • brew

    3.3 0.0 L4 Python
    Multiple Classifier Systems and Ensemble Learning Library in Python.

  • MLP Classifier

    2.8 0.0 L4 Python
    A handwritten multilayer perceptron classifier using numpy.

  • vowpal_porpoise

    2.5 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.

  • nptyping

    1.5 3.5 Python
    Type hints for numpy

  • tfgraphviz

    1.4 0.0 L5 Python
    A simple graphviz wrapper to visualize a graph like TensorFlow & TensorBoard

  • neptune-contrib

    0.9 7.3 Python
    Tools, helpers and everything else that helps you work with Neptune.

  • Simple GAN

    0.7 0.0 Python
    Attempt at implementation of a simple GAN using Keras

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