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Deep Learning packages

Showing projects tagged as Machine Learning and Deep Learning

  • 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++
    Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

  • Pyro.ai

    8.6 7.0 Python
    Deep universal probabilistic programming with Python and PyTorch

  • GluonTS

    8.0 5.5 Python
    Probabilistic time series modeling in Python

  • Silero Models

    7.9 4.7 Jupyter Notebook
    Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

  • Porcupine  

    7.7 8.8 Python
    On-device wake word detection powered by deep learning

  • karateclub

    6.2 6.7 Python
    Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  • Multi-object trackers in Python

    4.1 6.4 Python
    Multi-object trackers in Python

  • neptune-client

    3.8 4.4 Python
    📘 The experiment tracker for foundation model training

  • Lineflow

    2.3 1.0 Python
    :zap:A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

  • Spokestack

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

  • neptune-contrib

    1.5 0.0 Python
    This library is a location of the LegacyLogger for PyTorch Lightning.

  • V7 Gale

    1.2 - Python
    Welcome to Gale, a PyTorch framework for reproducible deep learning experiments!

  • Regression using LLMs

    0.8 4.9 Python
    Exploring the classical regression capabilities of LLMs.

  • Simple GAN

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

  • FastAPI MCP OpenAPI

    0.3 7.6 Python
    A FastAPI library that provides Model Context Protocol (MCP) tools for endpoint introspection and OpenAPI documentation. This library allows AI agents to discover and understand your FastAPI endpoints through MCP.