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BAiLearning-Theory-Applying
Quick Start to AI Theory and Practical Applications: Basic knowledge, Transformer, NLP, ML, DL, and competitions. Contains numerous annotations and datasets, aiming to make it easy for everyone to understand and replicate.
Popularity
Repository stars3,5866,390Highest
7-day net stars——
Fork4763,715Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-182024-04-17
Maintenance notesNot verifiedNot verified
Repository created2020-10-252015-01-25
License & use
LicenseMIT · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeDatabases & dataDatabases & data
TypeDatasets & evaluationsDatasets & evaluations
SubcategoryText datasetsText datasets
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookJupyter Notebook
About this projectQuick Start to AI Theory and Practical Applications: Basic knowledge, Transformer, NLP, ML, DL, and competitions. Contains numerous annotations and datasets, aiming to make it easy for everyone to understand and replicate.COCO API - Dataset @ http://cocodataset.org/
Measured at2026-11-03 09:41 UTC2026-11-03 08:29 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.