44 Machine Learning packages and projects

  • tensorflow

    10.0 10.0 L1 C++
    An Open Source Machine Learning Framework for Everyone
  • PaddlePaddle

    9.6 9.9 L1 Python
    PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
  • Learn how static code analysis tools have helped the Python community identify (and fix) bugs and vulnerabilities in some prominent open source Python projects. Read More →
    Sponsored www.sonarsource.com
  • H2O

    8.9 9.9 Jupyter Notebook
    H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
  • MindsDB

    7.9 9.9 Python
    Predictive AI layer for existing databases.
  • karateclub

    5.4 8.9 Python
    Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  • scikit-learn

    9.9 9.8 L3 Python
    scikit-learn: machine learning in Python
  • MLflow

    9.3 9.6 Python
    Open source platform for the machine learning lifecycle
  • xgboost

    9.8 9.4 L1 C++
    Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
  • Data Flow Facilitator for Machine Learning (dffml)

    2.8 9.5 Python
    The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
  • gensim

    9.5 8.9 L3 Python
    Topic Modelling for Humans
  • Prophet

    9.5 8.1 Python
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
  • SciKit-Learn Laboratory

    3.9 8.7 Python
    SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  • seqeval

    3.9 6.1 Python
    A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
  • adaptive

    3.9 8.1 Python
    :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
  • gym

    9.8 4.9 Python
    A toolkit for developing and comparing reinforcement learning algorithms.
  • neptune-contrib

    1.3 4.9 Python
    Tools, helpers and everything else that helps you work with Neptune.
  • nptyping

    2.5 5.9 Python
    💡 Type hints for Numpy
  • pdpipe

    3.7 3.9 Python
    Easy pipelines for pandas DataFrames.
  • bodywork

    2.6 9.6 Python
    MLOps tool for deploying machine learning projects to Kubernetes.
  • Sacred

    7.6 5.6 Python
    Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  • LightFM

    7.9 5.3 L4 Python
    A Python implementation of LightFM, a hybrid recommendation algorithm.
  • TFLearn

    9.3 2.5 L3 Python
    Deep learning library featuring a higher-level API for TensorFlow.
  • Surprise

    8.4 0.2 L4 Python
    A Python scikit for building and analyzing recommender systems
  • Keras

    9.9 8.8 L2 Python
    Deep Learning for humans
  • CNTK

    9.6 0.0 L1 C++
    Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
  • rwa

    3.9 0.0 L5 Python
    Machine Learning on Sequential Data Using a Recurrent Weighted Average
  • vowpal_porpoise

    2.5 0.0 L3 Python
    lightweight python wrapper for vowpal wabbit
  • awesome-embedding-models

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

    5.3 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python
  • NuPIC

    9.0 0.0 L3 Python
    Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
  • PyBrain

    7.9 0.0 L4 Python
    Another Python Machine Learning Library.
  • Pylearn2

    8.1 0.0 L2 Python
    Warning: This project does not have any current developer. See bellow.
  • python-recsys

    6.4 0.0 L4 Python
    A python library for implementing a recommender system
  • pydeep

    6.2 0.0 L3 Python
    Deep learning in Python
  • skflow

    7.7 0.0 L4 Python
    Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
  • 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 classifer using numpy.
  • srez

    8.4 0.0 L5 Python
    Image super-resolution through deep learning
  • Feature Forge

    3.5 0.0 L4 Python
    A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
  • Clairvoyant

    7.4 1.1 L3 Python
    Software designed to identify and monitor social/historical cues for short term stock movement
  • tfgraphviz

    1.3 3.4 L5 Python
    A visualization tool to show a TensorFlow's graph like TensorBoard
  • Crab

    5.9 0.0 L2 Python
    Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
  • Simple GAN

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

    6.4 0.0 Python
    Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

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