Machine Learning packages

Showing projects tagged as Artificial Intelligence and Machine Learning

  • CNTK

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

    9.5 9.9 Python
    Open source platform for the machine learning lifecycle
  • MindsDB

    9.5 10.0 Python
    The platform for customizing AI from enterprise data
  • gensim

    9.5 7.5 L3 Python
    Topic Modelling for Humans
  • TFLearn

    9.2 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.
  • Pyro.ai

    8.7 8.4 Python
    Deep universal probabilistic programming with Python and PyTorch
  • srez

    8.3 0.0 L5 Python
    Image super-resolution through deep learning
  • LightFM

    7.9 4.8 L4 Python
    A Python implementation of LightFM, a hybrid recommendation algorithm.
  • GluonTS

    7.8 8.8 Python
    Probabilistic time series modeling in Python
  • Porcupine  

    7.2 9.1 Python
    On-device wake word detection powered by deep learning
  • karateclub

    6.1 7.0 Python
    Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  • awesome-embedding-models

    6.0 0.0 Jupyter Notebook
    A curated list of awesome embedding models tutorials, projects and communities.
  • hebel

    5.0 0.0 L2 Python
    GPU-Accelerated Deep Learning Library in Python
  • Multi-object trackers in Python

    4.1 6.4 Python
    Multi-object trackers in Python
  • SciKit-Learn Laboratory

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

    3.6 9.6 Python
    :ledger: The MLOps stack component for experiment tracking
  • 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
  • bodywork

    3.1 0.0 Python
    ML pipeline orchestration and model deployments on Kubernetes.
  • OptaPy

    2.7 5.5 Java
    OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
  • vowpal_porpoise

    2.5 0.0 L3 Python
    lightweight python wrapper for vowpal wabbit
  • Spokestack

    2.1 3.3 Python
    Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
  • omega-ml

    1.8 8.2 Python
    MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
  • tfgraphviz

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

    1.4 3.0 Python
    Minimalistic ML-models auto deployment tool
  • Simple GAN

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