https://github.com/JackChen890311/NTU-ADL-HW-2023Fall

Course homeworks of ADL (Applied Deep Learning) at NTU (National Taiwan University) teached by Yun-Nung Vivian Chen, 2023 Fall
https://github.com/JackChen890311/NTU-ADL-HW-2023Fall

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Course homeworks of ADL (Applied Deep Learning) at NTU (National Taiwan University) teached by Yun-Nung Vivian Chen, 2023 Fall

• Host: GitHub
• URL: https://github.com/JackChen890311/NTU-ADL-HW-2023Fall
• Owner: JackChen890311
• Created: 2023-10-18T07:43:08.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2023-12-31T07:29:46.000Z (6 months ago)
• Last Synced: 2024-04-28T05:06:44.976Z (about 2 months ago)
• Language: Python
• Homepage:
• Size: 2.6 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# NTU-ADL-HW-2023Fall

This repository contains course homeworks of ADL (Applied Deep Learning) at NTU (National Taiwan University) teached by Yun-Nung Vivian Chen, 2023 Fall.

All the code are written or modified by myself. (Jack Chen)

### HW1 - Multiple Choice & Question Answering

- [Instruction](https://docs.google.com/presentation/d/1EcHhZB_aBX3dGJ6odcBHvkuD6SYg5SNAvzO1soObuYY/edit#slide=id.p)

- [Report](https://docs.google.com/presentation/d/1RkMdrql8oMT5TjFURZJATYzdKfKYTniCV7J7UEyNKuc/edit#slide=id.p)

### HW2 - Summarization

- [Instruction](https://docs.google.com/presentation/d/1yJEQUtzFREeuEnkBTXei4SFEftnmnP3i05m0J5aGsg8/edit#slide=id.p)

- [Report](https://docs.google.com/presentation/d/1M7dThgMXcduB3JBr9HP3cFI4focypVsqCPx1CI04WW4/edit#slide=id.p)

### HW3 - Finetuning LLM

- [Instruction](https://docs.google.com/presentation/d/1bZyF83pI9WZq558QDNsO9E7vl2B6PQJLLpu4V5EBo9A/edit#slide=id.g2976d025caf_0_126)

- [Report](https://docs.google.com/presentation/d/14aEXHAyIpsAgKGWL1-gPQs-cCJj29cV0toD2eh44CC8/edit#slide=id.g261287fb71f_0_0)

### Final Project - Domain Adaptive QA

- [Github Repository](https://github.com/ShampooWang/ADL-final_Domain-adaptive-QA)

- [Presentation](https://www.youtube.com/watch?v=JQ_y0nPdRQI)