Scientific packages

Showing projects tagged as Machine Learning and Scientific

  • scikit-learn

    10.0 9.9 L3 Python
    scikit-learn: machine learning in Python
  • gensim

    9.5 8.8 L3 Python
    Topic Modelling for Humans
  • MLflow

    9.4 9.7 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

    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.
  • srez

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

    8.4 0.0 L4 Python
    A Python scikit for building and analyzing recommender systems
  • LightFM

    7.9 3.2 L4 Python
    A Python implementation of LightFM, a hybrid recommendation algorithm.
  • skflow

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

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

    6.2 0.0 L3 Python
    Deep learning in Python
  • Crab

    5.8 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).
  • karateclub

    5.6 8.3 Python
    Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  • hebel

    5.2 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python
  • SciKit-Learn Laboratory

    3.9 8.5 Python
    SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  • 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
  • brew

    3.2 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 classifer using numpy.
  • vowpal_porpoise

    2.4 0.0 L3 Python
    lightweight python wrapper for vowpal wabbit
  • neptune-client

    2.4 9.4 Python
    Neptune client library - integrate your Python scripts with Neptune
  • tfgraphviz

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