https://github.com/npurson/hello-dian.ai
👋 Lab assignments for Introduction Course of Dian.ai (Dian AI Group).
https://github.com/npurson/hello-dian.ai
deep-learning neural-network
Last synced: 9 months ago
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👋 Lab assignments for Introduction Course of Dian.ai (Dian AI Group).
- Host: GitHub
- URL: https://github.com/npurson/hello-dian.ai
- Owner: npurson
- License: mit
- Created: 2021-04-07T12:02:53.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2022-01-26T04:51:03.000Z (over 4 years ago)
- Last Synced: 2023-10-20T22:07:45.836Z (over 2 years ago)
- Topics: deep-learning, neural-network
- Language: Python
- Homepage:
- Size: 99.6 MB
- Stars: 21
- Watchers: 1
- Forks: 23
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Hello, Dian.ai!
Lab assignments for Introduction Course of _Dian.ai_.
## Introduction
- **[Lab 0: K Nearest Neighbors](lab0/README.md)**
- **[Lab 1: Naive Neural Network](lab1/README.md)**: Implement a naive neural network framework, and train a classifier on MNIST dataset.
- **[Lab 2: Single Object Detection](lab2/README.md)**: Implement a single object detector with PyTorch.
- **[Lab 3: Object Detection Libraries](lab3/README.md)**: Reproduce SOTA models or tricks based on off-the-shelf detection libraries.
- **[Lab 4: Generative Adversarial Networks](lab4/README.md)**: Generate anime avators with GAN!
- **[Lab 5: Reinforcement Learning](lab5/README.md)**: Develop reinforcement learning algorithms through playing games!
## Changelog
v1.3.0 was released in 2021/10/17.
* ♻️ Refactor module tests.
* 🌱 Dian Recruitment Fall 2021
* 🐛 **TODO** Fix the implementation of `Conv2d_im2col`
* 🚧 **TODO** Module test for `BatchNorm1d`
## Contributing
Feel free to dive in! [Open an issue](https://github.com/npurson/hello-dian.ai/issues/new) or submit PRs.
## License
[MIT](LICENSE) © Natter Purson