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Machine Learning packages

Showing projects tagged as Machine Learning

  • tensorflow

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

  • Keras

    9.9 9.2 L2 Python
    Deep Learning for humans

  • scikit-learn

    9.9 9.9 L3 Python
    scikit-learn: machine learning in Python

  • gym

    9.8 9.3 Python
    A toolkit for developing and comparing reinforcement learning algorithms.

  • xgboost

    9.8 9.1 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

  • PaddlePaddle

    9.6 10.0 L1 C++
    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）

  • CNTK

    9.6 3.1 L1 C++
    Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

  • Prophet

    9.5 6.4 Python
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  • gensim

    9.5 7.6 L3 Python
    Topic Modelling for Humans

  • MindsDB

    9.4 10.0 Python
    A low-code Machine Learning platform to help developers build #AI solutions

  • MLflow

    9.4 9.6 Python
    Open source platform for the machine learning lifecycle

  • neural-enhance

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

  • TFLearn

    9.3 0.0 L3 Python
    Deep learning library featuring a higher-level API for TensorFlow.

  • NuPIC

    8.8 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.

  • doccano

    8.8 9.2 Python
    Open source annotation tool for machine learning practitioners.

  • H2O

    8.8 9.8 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.

  • Pyro.ai

    8.7 8.4 Python
    Deep universal probabilistic programming with Python and PyTorch

  • Surprise

    8.4 7.9 L4 Python
    A Python scikit for building and analyzing recommender systems

  • srez

    8.3 0.0 L5 Python
    Image super-resolution through deep learning

  • LightFM

    7.9 2.5 L4 Python
    A Python implementation of LightFM, a hybrid recommendation algorithm.

  • Pylearn2

    7.9 0.0 L2 Python
    Warning: This project does not have any current developer. See bellow.

  • PyBrain

    7.7 0.0 L4 Python
    Another Python Machine Learning Library.

  • Sacred

    7.6 8.3 Python
    Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  • skflow

    7.6 1.3 L4 Python
    Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

  • Clairvoyant

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

  • Silero Models

    7.1 6.6 Jupyter Notebook
    Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

  • Porcupine  

    7.0 9.1 Python
    On-device wake word detection powered by deep learning

  • Metrics

    6.3 0.0 Python
    Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

  • python-recsys

    6.3 0.0 L4 Python
    A python library for implementing a recommender system

  • pydeep

    6.0 0.0 L3 Python
    Deep learning in Python