Machine Learning packages

Showing projects tagged as Machine Learning

  • tensorflow

    10.0 10.0 L1 C++
    Computation using data flow graphs for scalable machine learning
  • scikit-learn

    10.0 9.7 L3 Python
    A Python module for machine learning built on top of SciPy.
  • Keras

    9.9 9.6 L2 Python
    Minimalist deep learning library for Python, running on top of Theano and Tensorflow.
  • CNTK

    9.7 9.4 L1 C++
    Microsoft Cognitive Toolkit
  • xgboost

    9.7 9.3 L1 C++
    A scalable, portable, and distributed gradient boosting library.
  • gensim

    9.6 8.5 L3 Python
    Topic Modelling for Humans.
  • TFLearn

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

    9.5 10.0 L1 C++
    PArallel Distributed Deep LEarning
  • neural-enhance

    9.3 0.0 L4 Python
    Super Resolution for images using deep learning.
  • NuPIC

    9.3 5.8 L3 Python
    Numenta Platform for Intelligent Computing.
  • Prophet

    9.2 8.2 Jupyter Notebook
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
  • srez

    8.7 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.
  • skflow

    8.1 0.0 L4 Python
    A simplified interface for TensorFlow (mimicking scikit-learn).
  • Surprise

    7.7 6.4 L4 Python
    A Python recommender system library aimed towards researchers, teachers and students.
  • MLflow

    7.6 9.4 Python
    Open source platform for the machine learning lifecycle
  • LightFM

    7.3 6.8 L4 Python
    A Python implementation of a number of popular recommendation algorithms.
  • Clairvoyant

    7.0 3.9 L3 Python
    Software designed to identify and monitor social/historical cues for short term stock movement
  • python-recsys

    6.6 1.3 L4 Python
    A Python library for implementing a Recommender System.
  • pydeep

    6.6 0.0 L3 Python
    -Deep learning in python
  • Crab

    6.1 0.0 L2 Python
    A flexible, fast recommender engine.
  • hebel

    5.7 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python.
  • Porcupine  

    5.6 8.1 C
    On-device wake word detection engine powered by deep learning.
  • Wallaroo

    5.2 9.7 Pony
    Build and scale real-time data applications as easily as writing a Python script
  • awesome-embedding-models

    5.2 5.1 Jupyter Notebook
    A curated list of awesome embedding models tutorials, projects and communities.
  • rwa

    4.1 2.4 L5 Python
    Machine Learning on Sequential Data Using a Recurrent Weighted Average
  • SciKit-Learn Laboratory

    3.8 5.1 Python
    SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  • Feature Forge

    3.4 0.0 L4 Python
    A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
  • brew

    2.9 2.1 L4 Python
    Multiple Classifier Systems and Ensemble Learning Library in Python.