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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 9.9 L2 Python
    Deep Learning for humans

  • scikit-learn

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

  • gym

    9.8 0.0 Python
    DISCONTINUED. A toolkit for developing and comparing reinforcement learning algorithms.

  • xgboost

    9.7 9.6 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

  • MindsDB

    9.7 9.9 Python
    Platform dedicated to building an open foundation for applied Artificial Intelligence, designed for people seeking production-ready AI systems they can truly control, extend and deploy anywhere.

  • dspy

    9.6 9.7 Python
    DSPy: The framework for programming—not prompting—language models

  • MLflow

    9.6 10.0 Python
    The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

  • 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

    9.5 0.0 L1 C++
    DISCONTINUED. Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

  • Prophet

    9.5 7.0 Python
    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  • gensim

    9.4 7.9 L3 Python
    Topic Modelling for Humans

  • neural-enhance

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

  • TFLearn

    9.0 0.0 L3 Python
    Deep learning library featuring a higher-level API for TensorFlow.

  • doccano

    8.9 5.7 Python
    Open source annotation tool for machine learning practitioners.

  • 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.

  • H2O

    8.7 9.0 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

    8.6 7.0 Python
    Deep universal probabilistic programming with Python and PyTorch

  • Surprise

    8.4 0.0 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

  • Atomic Agents

    8.0 9.3 Python
    Building AI agents, atomically

  • GluonTS

    8.0 4.7 Python
    Probabilistic time series modeling in Python

  • LightFM

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

  • Silero Models

    7.9 8.2 Jupyter Notebook
    Silero Models: pre-trained text-to-speech models made embarrassingly simple

  • Porcupine  

    7.7 8.4 Python
    On-device wake word detection powered by deep learning

  • Statsforecast

    7.6 8.1 Python
    Lightning ⚡️ fast forecasting with statistical and econometric models.

  • Pylearn2

    7.6 0.0 L2 Python
    Warning: This project does not have any current developer. See bellow.

  • skflow

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

  • Sacred

    7.5 3.1 Python
    Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  • PyBrain

    7.4 0.0 L4 Python
    Another Python Machine Learning Library.