# elizabetht/100-days-of-inference

<https://repo.masters-masters.com/en/repos/elizabetht/100-days-of-inference>

[Home](https://repo.masters-masters.com/en) › [elizabetht](https://repo.masters-masters.com/en/owners/elizabetht) › [100-days-of-inference](https://repo.masters-masters.com/en/repos/elizabetht/100-days-of-inference)

elizabetht/100-days-of-inference has 1,906 stars on GitHub. Its RepoMasters card: Beta tier. 100 days of LLM inference engineering — daily posts, experiments…

| Field | Value |
| --- | --- |
| Owner | [elizabetht](https://repo.masters-masters.com/en/owners/elizabetht) |
| Stars | 1,906 |
| Forks | 253 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2026 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [elizabetht/100-days-of-inference](https://github.com/elizabetht/100-days-of-inference) |

## Repository

100 days of LLM inference engineering — daily posts, experiments, and visualizations

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## Nearby in Jupyter Notebook

- [yhilpisch/py4fi · ★ 1,919 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/yhilpisch/py4fi)
- [tiepvupsu/ebookMLCB · ★ 1,908 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/tiepvupsu/ebookMLCB)
- [ageron/tf2\_course · ★ 1,907 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/ageron/tf2_course)
- [stanfordmlgroup/ngboost · ★ 1,901 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/stanfordmlgroup/ngboost)
- [NVIDIA-AI-IOT/deepstream\_python\_apps · ★ 1,900 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/NVIDIA-AI-IOT/deepstream_python_apps)
- [dauparas/ProteinMPNN · ★ 1,899 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/dauparas/ProteinMPNN)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
