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Facts
| Fact | jalammar/ecco Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0). | DSKSD/DeepNLP-models-Pytorch Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ) |
|---|---|---|
| Stars | 2,108 | 2,945 |
| Net stars, last 30 days | +5 | +1 |
| Largest star day | +1 on May 17, 2026 | +1 on Jun 21, 2026 |
| Milestone reached in the record | None | None |
| Forks | 174 | 636 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | BSD-3-CLAUSE | MIT |
| Created | Nov 7, 2020 | Aug 16, 2017 |
| Last push | Aug 15, 2024 | Oct 15, 2019 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 1 of 3 checks (1 without data) | 0 of 3 checks (2 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 12, 2026 | Nov 11, 2026 |
Topics that all of them have on the Repository Host: nlp, natural-language-processing, pytorch. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined