10

8

6

4

2


10.0

10.0

10.0

3.7

9.9

9.8

9.8

9.4

9.8

7.8
gym

9.7

2.4

44 Machine Learning packages and projects

  • tensorflow

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

    10.0 3.7 L2 Python
    Minimalist deep learning library for Python, running on top of Theano and Tensorflow.
  • scikit-learn

    9.9 9.8 L3 Python
    A Python module for machine learning built on top of SciPy.
  • Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
    Promoted scoutapm.com
  • xgboost

    9.8 9.4 L1 C++
    A scalable, portable, and distributed gradient boosting library.
  • gym

    9.8 7.8 Python
    A toolkit for developing and comparing reinforcement learning algorithms.
  • CNTK

    9.7 2.4 L1 C++
    Microsoft Cognitive Toolkit
  • PaddlePaddle

    9.6 9.9 L1 C++
    PArallel Distributed Deep LEarning
  • Prophet

    9.5 8.1 Jupyter Notebook
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
  • gensim

    9.5 8.7 L3 Python
    Topic Modelling for Humans.
  • TFLearn

    9.4 4.9 L3 Python
    Deep learning library featuring a higher-level API for TensorFlow.
  • MLflow

    9.2 9.5 Python
    Open source platform for the machine learning lifecycle
  • NuPIC

    9.1 0.0 L3 Python
    Numenta Platform for Intelligent Computing.
  • H2O

    8.9 9.8 Java
    Open Source Fast Scalable Machine Learning Platform.
  • srez

    8.5 0.0 L5 Python
    Image super-resolution through deep learning
  • Surprise

    8.4 4.9 L4 Python
    A Python recommender system library aimed towards researchers, teachers and students.
  • Pylearn2

    8.2 0.0 L2 Python
    A Machine Learning library based on Theano.
  • PyBrain

    8.0 0.0 L4 Python
    Another Python Machine Learning Library.
  • skflow

    7.9 0.0 L4 Python
    A simplified interface for TensorFlow (mimicking scikit-learn).
  • LightFM

    7.9 5.3 L4 Python
    A Python implementation of a number of popular recommendation algorithms.
  • MindsDB

    7.8 9.8 Python
    Explainable AutoML for Developers
  • Sacred

    7.6 5.7 Python
    Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  • Clairvoyant

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

    6.5 0.0 L4 Python
    A Python library for implementing a Recommender System.
  • Metrics

    6.4 0.0 Python
    Machine learning evaluation metrics.
  • pydeep

    6.3 0.0 L3 Python
    -Deep learning in python
  • awesome-embedding-models

    6.1 0.0 Jupyter Notebook
    A curated list of awesome embedding models tutorials, projects and communities.
  • Crab

    6.0 0.0 L2 Python
    A flexible, fast recommender engine.
  • hebel

    5.4 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python.
  • karateclub

    5.0 9.8 Python
    A general purpose community detection and network embedding library for research built on NetworkX.
  • rwa

    4.0 1.4 L5 Python
    Machine Learning on Sequential Data Using a Recurrent Weighted Average
  • adaptive

    3.9 7.9 Python
    📈 Adaptive: parallel active learning of mathematical functions
  • SciKit-Learn Laboratory

    3.9 8.1 Python
    SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  • pdpipe

    3.6 6.9 Python
    Easy pipelines for pandas DataFrames.
  • 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
  • seqeval

    3.5 8.0 Python
    Well-tested evaluation framework for named-entity recognition.
  • brew

    3.2 0.0 L4 Python
    Multiple Classifier Systems and Ensemble Learning Library in Python.
  • MLP Classifier

    2.7 0.0 L4 Python
    A handwritten multilayer perceptron classifier using numpy.
  • Data Flow Facilitator for Machine Learning (dffml)

    2.6 9.4 Python
    The easiest way to use Machine Learning
  • vowpal_porpoise

    2.5 0.1 L3 C++
    A lightweight Python wrapper for Vowpal Wabbit.
  • nptyping

    2.2 6.9 Python
    Type hints for numpy
  • tfgraphviz

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

    1.1 6.5 Python
    Tools, helpers and everything else that helps you work with Neptune.
  • Simple GAN

    0.6 0.0 Python
    Attempt at implementation of a simple GAN using Keras
  • bodywork

    0.3 5.9 Python
    ML-Ops framework for running containerised model-training workloads and deploying model-scoring services, using Kubernetes.

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