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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
| Date | Stars |
|---|---|
| 2026-07-31 | 2580 |
| 2026-08-06 | 2582 |
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 <p> <h2 align="center"> 機器學習 Machine Learning 2022 Spring by National Taiwan University<br> </h2> </p> This repository contains code and slides of 15 homeworks for Machine Learning instructed by 李宏毅(Hung-Yi Lee). All the information about this course can be found on the [course website](https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php). ## 15 Homeworks * HW1 : Regression [[Video]](https://youtu.be/cFIImk_yBTg) [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW01/HW01.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW01/HW01.pdf) * HW2 : Classification [[Video]](https://youtu.be/FxuPF4vjga4) [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW02/HW02.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW02/HW02.pdf) * HW3 : CNN [[Video]](https://youtu.be/GXLwjQ_O50g) [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW03/HW03.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW03/HW03.pdf) * HW4 : Self-Attention [[Video]](https://youtu.be/-KbD40w9-Io) [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW04/hw04.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW04/Machine%20Learning%20HW4.pdf) * HW5 : Transformer [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW05/HW05.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW05/HW05.pdf) * HW6 : GAN [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW06/HW06.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW06/HW06.pdf) * HW7 : BERT [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW07/HW07.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW07/HW07.pdf) * HW8 : Autoencoder [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW08/HW08.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW08/HW08.pdf) * HW9 : Explainable AI [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW09/HW09.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW09/HW09.pdf) * HW10 : Adversarial Attack [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW10/HW10.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW10/HW10.pdf) * HW11 : Adaptation [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW11/HW11.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW11/HW11.pdf) * HW12 : Reinforcement Learning [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW12/HW12.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW12/HW12.pdf) * HW13 : Network Compression [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW13/HW13.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW13/HW13.pdf) * HW14 : Life-Long Learning [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW14/HW14.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW14/HW14.pdf) * HW15 : Meta Learning [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.pdf) ## Lecture Videos The lecture videos are available on Hung-Yi Lee's [youtube channel](https://www.youtube.com/channel/UC2ggjtuuWvxrHHHiaDH1dlQ). [<img src="https://i.imgur.com/SFDpe52.jpg" width="500">](https://www.youtube.com/watch?v=7XZR0-4uS5s&t=18s) <img src="http://i.imgur.com/SRv0h6F.jpg" width="500">
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ce7be68b55148522, topic:deep-learning