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Model Definition · Awesome GitHub Repositories

5 repos

Awesome GitHub RepositoriesModel Definition

Tools focused on the structural design, backend-agnostic construction, and adaptation of neural network topologies, distinct from execution pipelines.

Explore 5 awesome GitHub repositories matching artificial intelligence & ml · Model Definition. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Frameworks
  5. Model Construction
  6. Model Definition

Awesome Model Definition GitHub Repositories

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  • tensorflow/tensorflow

    tensorflow/tensorflow

    193,864GitHubView on GitHub↗

    TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst

    C++deep-learningdeep-neural-networksdistributed
  • hiyouga/LlamaFactory

    hiyouga/LlamaFactory

    67,386GitHubView on GitHub↗

    LlamaFactory is a unified framework for fine-tuning and adapting large language models. It provides a comprehensive platform that standardizes training workflows across diverse machine learning architectures, allowing users to execute both full-tuning and parameter-efficient methods through a single interface. The pro

    Pythonagentaideepseek
  • keras-team/keras

    keras-team/keras

    63,858GitHubView on GitHub↗

    Keras is a high-level deep learning framework designed for constructing and training neural networks through the composition of modular, functional layers. It serves as a comprehensive modeling toolkit that provides standardized procedures for defining, evaluating, and deploying complex architectures. By utilizing a di

    Pythondata-sciencedeep-learningjax
  • CorentinJ/Real-Time-Voice-Cloning

    CorentinJ/Real-Time-Voice-Cloning

    59,355GitHubView on GitHub↗

    This project is a neural text-to-speech engine and voice cloning toolkit designed to generate synthetic speech that mimics the vocal characteristics of a target speaker. It functions as a real-time audio synthesizer, utilizing a deep learning pipeline to convert written text into high-fidelity speech output with minima

    Pythondeep-learningpythonpytorch
  • ultralytics/ultralytics

    ultralytics/ultralytics

    53,426GitHubView on GitHub↗

    Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification

    Pythonclicomputer-visiondeep-learning

Explore sub-tags

  • Multi-Backend Model ConstructionFrameworks that allow developers to define machine learning models compatible with multiple underlying hardware or software backends.
  • Transfer Learning FrameworksLibraries and tools designed to facilitate the adaptation of pre-trained models to new, related tasks.