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Model Customization · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesModel Customization

Methods and techniques for adapting pre-existing models to perform specific tasks or handle new data domains.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Model Customization. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Training & Tuning
  6. Fine-Tuning and Customization
  7. Model Customization

Awesome Model Customization GitHub Repositories

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  • huggingface/transformers

    huggingface/transformers

    156,730GitHubView on GitHub↗

    Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering

    Captures expert routing indices during inference and replays them during training passes to ensure consistent expert paths in mixture-of-experts models.

    Pythonaudiodeep-learningdeepseek
  • Shubhamsaboo/awesome-llm-apps

    Shubhamsaboo/awesome-llm-apps

    96,116GitHubView on GitHub↗

    This repository serves as a comprehensive collection of resources, templates, and starter code for building artificial intelligence applications. It provides a centralized hub for developers to access practical implementations of common workflows, including retrieval-augmented generation pipelines and autonomous agent

    End-to-end recipes provide step-by-step instructions for customizing and fine-tuning open-source language models.

    Pythonagentsllmspython

Explore sub-tags

  • Fine-tuning RecipesStep-by-step guides for training and customizing open-source models.
  • Mixture of ExpertsSupport for routing and recording expert paths in MoE models.