Skip to content

[Enhancement] Add Colab Tutorial #80

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 4 commits into
base: main
Choose a base branch
from
Open

[Enhancement] Add Colab Tutorial #80

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
a3a0b21
[Enhancement] Add Colab Tutorial
BIGWangYuDong May 4, 2022
270dab5
add Colab Tutorial in readme
BIGWangYuDong May 4, 2022
b19a0f6
minor fix
BIGWangYuDong May 4, 2022
0a1e313
minor fix
BIGWangYuDong May 18, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -106,6 +106,8 @@ Please refer to [install.md](/docs/en/install.md) for installation of MMFewShot

If you are new of few shot learning, you can start with [learn the basics](docs/en/intro.md).
If you are familiar with it, check out [getting_started.md](docs/en/get_started.md) for the basic usage of mmfewshot.
We provide [fewshot classification colab tutorial](demo/MMFewShot_Tutorial-Classification.ipynb) and
[fewshot detection colab tutorial](demo/MMFewShot_Tutorial-Detection.ipynb) for beginners.


Refer to the below tutorials to dive deeper:
Expand Down
1 change: 1 addition & 0 deletions README_zh-CN.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -103,6 +103,7 @@ MMFewShot 依赖 [PyTorch](https://pytorch.org/) 和 [MMCV](https://github.com/o
## 快速入门
如果初次了解少样本学习，你可以从[基础介绍](docs/en/intro.md)开始了解少样本学习的基本概念和 MMFewShot 的框架。
如果对少样本学习很熟悉，请参考[使用教程](docs/en/get_started.md)获取MMFewShot的基本用法。
我们也为新手提供了[少样本分类的 colab 教程](demo/MMFewShot_Tutorial-Classification.ipynb)和[少样本检测的 colab 教程】](demo/MMFewShot_Tutorial-Detection.ipynb)。

MMFewShot 也提供了其他更详细的教程，包括：

Expand Down
Loading