https://github.com/alandoescs/ml-reading-group

The GitHub Page of the Bavarian International School Machine Learning Reading Group
https://github.com/alandoescs/ml-reading-group

deep-learning deep-neural-networks machine-learning neural-networks reading-list

Last synced: 8 days ago
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The GitHub Page of the Bavarian International School Machine Learning Reading Group

• Host: GitHub
• URL: https://github.com/alandoescs/ml-reading-group
• Owner: AlanDoesCS
• License: cc0-1.0
• Created: 2024-09-17T08:47:03.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-12-16T03:31:16.000Z (21 days ago)
• Last Synced: 2024-12-16T04:27:20.625Z (21 days ago)
• Topics: deep-learning, deep-neural-networks, machine-learning, neural-networks, reading-list
• Homepage:
• Size: 23.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# ML-Reading-Group

The GitHub Page of the Bavarian International School Machine Learning Reading Group

| Link                                                                                                                                 | Read? |

| ------------------------------------------------------------------------------------------------------------------------------------ | ----- |

| [Machine learning with neural network (Only read pages 6-11)](https://arxiv.org/pdf/1901.05639)                                      | ✅   |

| [Playing Atari with Deep Reinforcement Learning](https://arxiv.org/pdf/1312.5602)                                                    | ✅   |

| [Attention is all you need](https://arxiv.org/pdf/1706.03762)                                                                        | ✅   |

| [A Comprehensive Overview of Large Language Models](https://arxiv.org/pdf/2307.06435)                                                | ✅   |

| [How to Train Data-Efficient LLMs](https://arxiv.org/pdf/2402.09668)                                                                 | ❌   |

| [Handwritten digit recognition with a NN](https://proceedings.neurips.cc/paper/1989/file/53c3bce66e43be4f209556518c2fcb54-Paper.pdf) | ❌   |

| [An Image is worth 16x16 words](https://arxiv.org/abs/2010.11929)                                                                    | ❌   |

| [LoRa: Low-Rank adaptation of Large Language models](https://arxiv.org/pdf/2106.09685)                                               | ❌   |

| [Retrieval Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/pdf/2005.11401)                                 | ❌   |

| [A Tutorial on Bayesian Optimization](https://arxiv.org/pdf/1807.02811)                                                              | ❌   |

(More papers to be added)

# Contributing

Contributions are very welcome!

To add papers/source code, create a PR and it should get reviewed within a few days 😊