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Scientific packages

Showing projects tagged as Machine Learning and Scientific

  • Keras

    9.9 9.9 L2 Python
    Deep Learning for humans

  • scikit-learn

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

  • gensim

    9.5 6.9 L3 Python
    Topic Modelling for Humans

  • MLflow

    9.5 9.9 Python
    Open source platform for the machine learning lifecycle

  • neural-enhance

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

  • TFLearn

    9.1 0.0 L3 Python
    Deep learning library featuring a higher-level API for TensorFlow.

  • NuPIC

    8.8 0.0 L3 Python
    DISCONTINUED. 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.

  • Surprise

    8.4 5.1 L4 Python
    A Python scikit for building and analyzing recommender systems

  • srez

    8.3 0.0 L5 Python
    DISCONTINUED. Image super-resolution through deep learning

  • LightFM

    7.9 0.0 L4 Python
    A Python implementation of LightFM, a hybrid recommendation algorithm.

  • skflow

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

  • Clairvoyant

    7.1 0.0 L3 Python
    Software designed to identify and monitor social/historical cues for short term stock movement

  • karateclub

    6.1 6.7 Python
    Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  • pydeep

    5.9 0.0 L3 Python
    Deep learning in Python

  • Crab

    5.6 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).

  • hebel

    5.0 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python

  • SciKit-Learn Laboratory

    3.9 8.0 Python
    SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

  • neptune-client

    3.7 9.5 Python
    📘 The experiment tracker for foundation model training

  • 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

    3.2 0.0 L4 Python
    DISCONTINUED. 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

    2.5 0.0 L3 Python
    lightweight python wrapper for vowpal wabbit

  • tfgraphviz

    1.4 0.0 L5 Python
    A visualization tool to show a TensorFlow's graph like TensorBoard