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ashishpatel26/Treasure-of-Transformers resource

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️ observed · 2026-08-28

github.com/ashishpatel26/Treasure-of-Transformers · homepage · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 34
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1724
  • days_rel: n/a
  • days_push: 397
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1179 stars · 237 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of transformer models for NLP, linking papers, blogs, videos, official repositories, and Colab notebooks for each model (BERT, GPT, T5, etc.). It is a reference resource rather than runnable software.

Use cases

  • find papers and code for transformer models
  • learn how BERT or GPT works with notebooks
  • compare transformer architectures by year
  • find colab notebooks for NLP models
  • discover official repos for pretrained language models
  • study seq2seq and attention models

When to choose

  • you want a curated index of transformer papers, videos, and code
  • you are learning NLP deep learning models and want runnable notebooks
  • you need quick links to official implementations of models like T5, BART, or Longformer

When to avoid

  • you need a production NLP library or inference runtime
  • you want maintained code rather than a link collection
  • you need up-to-date coverage of the newest LLMs

Facets

learning-resource · maturity maintenance

nlp machine-learning deep-learning documentation deep-learning machine-learning tutorials awesome-lists python cross-platform awesome-list transformers curated-resources colab-notebooks pretrained-models papers speech-recognition natural-language-processing

2 sources

Member repositories

RepositoryRoleHealth v2
ashishpatel26/Treasure-of-Transformersmain48

For agents

markdown · JSON · MCP: product_card(name="ashishpatel26/Treasure-of-Transformers")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem