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Training Efficiency · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesTraining Efficiency

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Training Efficiency. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Model Optimization
  6. Training Efficiency

Awesome Training Efficiency GitHub Repositories

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  • 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
  • unslothai/unsloth

    unslothai/unsloth

    52,461GitHubView on GitHub↗

    Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade

    Pythonagentdeepseekdeepseek-r1

Explore sub-tags

  • Hyperparameter OptimizationAutomated methods for searching and selecting the best configuration parameters for a model.
  • Parameter-Efficient Fine-Tuning1 sub-tagMethods for adapting models by updating a subset of parameters.
  • Quantized AdaptersLow-precision weight updates for efficient fine-tuning.
  • Training Backend Optimizers
Optimization algorithms and software layers that improve the speed and efficiency of the model training process.