# TannerGilbert/Tutorials

<https://repo.masters-masters.com/en/repos/TannerGilbert/Tutorials>

[Home](https://repo.masters-masters.com/en) › [TannerGilbert](https://repo.masters-masters.com/en/owners/TannerGilbert) › [Tutorials](https://repo.masters-masters.com/en/repos/TannerGilbert/Tutorials)

TannerGilbert/Tutorials has 556 stars on GitHub. Its RepoMasters card: Alpha tier. Code for some of my articles Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [TannerGilbert](https://repo.masters-masters.com/en/owners/TannerGilbert) |
| Stars | 556 |
| Forks | 604 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | machine-learning, python, data-visualization, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [TannerGilbert/Tutorials](https://github.com/TannerGilbert/Tutorials) |

## Repository

Code for some of my articles

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by TannerGilbert

- [TannerGilbert/Tensorflow-Object-Detection-API-Train-Model · ★ 196 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/TannerGilbert/Tensorflow-Object-Detection-API-Train-Model)
- [TannerGilbert/Object-Detection-and-Image-Segmentation-with-Detectron2 · ★ 165 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/TannerGilbert/Object-Detection-and-Image-Segmentation-with-Detectron2)
- [TannerGilbert/Tensorflow-Object-Detection-with-Tensorflow-2.0 · ★ 139 · Python · Prototype](https://repo.masters-masters.com/en/repos/TannerGilbert/Tensorflow-Object-Detection-with-Tensorflow-2.0)
- [TannerGilbert/Detectron2-Train-a-Instance-Segmentation-Model · ★ 103 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/TannerGilbert/Detectron2-Train-a-Instance-Segmentation-Model)

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