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Mgpt-llm-trainer
The goal of this project is to explore an experimental new pipeline to train a high-performing task-specific model. We try to abstract away all the complexity, so it's as easy as possible to go from idea -> performant fully-trained model.
Popularity
Repository stars4,175105,085Highest
7-day net stars——
Fork55131,317Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2025-05-022026-11-02
Maintenance notesNot verifiedUnknown
Repository created2023-08-092016-08-13
License & use
LicenseMIT · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeAI & agents · Databases & dataAI & agents · Databases & data
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguageJupyter NotebookPython
About this projectThe goal of this project is to explore an experimental new pipeline to train a high-performing task-specific model. We try to abstract away all the complexity, so it's as easy as possible to go from idea -> performant fully-trained model.A Python framework for tensors and neural networks.
Measured at2026-11-03 09:39 UTC2026-11-02 19:20 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.