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Data and Checkpointing · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesData and Checkpointing

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

  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Training & Tuning
  6. Data and Checkpointing

Awesome Data and Checkpointing 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

    Restores training sessions by reloading optimizer, scheduler, and random number generator states from saved checkpoints.

    Pythonaudiodeep-learningdeepseek
  • immich-app/immich

    immich-app/immich

    92,953GitHubView on GitHub↗

    Immich is a self-hosted media management platform designed to provide a centralized, private repository for photos and videos. It functions as a comprehensive system for organizing, backing up, and viewing personal media collections across mobile devices, web browsers, and external storage locations. By maintaining ful

    Resets recognition jobs to rebuild models, allowing updated configuration settings to be applied across the entire media library.

    TypeScriptbackup-toolfluttergoogle-photos

Explore sub-tags

  • Data Collators1 sub-tagUtilities that aggregate, format, and prepare raw data batches for efficient consumption by machine learning training processes.
  • Data Preprocessing1 sub-tagMethods and software for cleaning, normalizing, and transforming diverse data types before they are used in model training.
  • Model Loading1 sub-tagMechanisms and techniques for efficiently loading model weights and configurations into memory for execution.
Model Rebuilding Utilities
Functions for resetting and retraining recognition models based on updated configurations.
  • Training Checkpointing1 sub-tagMechanisms for saving the state of a training process and resuming it after interruptions or failures.