https://github.com/axect/ml2024

https://github.com/axect/ml2024

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, sciencedirect.com, springer.com, mdpi.com, ieee.org, aps.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

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  • Host: GitHub
  • Owner: Axect
  • Default Branch: master
  • Size: 127 MB
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Fork of jinheungkim1216/ML2024
Created almost 2 years ago · Last pushed almost 2 years ago

https://github.com/Axect/ML2024/blob/master/

Machine Learning Study in 2024

## Weekly Presentation | Week | Date | Lecturer | Contents | Refs & Materials | |-----:|:----------:|:--------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:| | 1 | 2023-11-12 | [Jinheung Kim](https://github.com/jinheungkim1216) | SYMBA, DL4SymMath | [SYMBA (arXiv)](https://arxiv.org/abs/2206.08901)
[DL4SymMath (arXiv)](https://arxiv.org/abs/1912.01412), [(code)](https://github.com/facebookresearch/SymbolicMathematics) | | 2 | 2023-12-02 | [Yeji Park](https://github.com/hiilynn) | Parameter estimation, SGWB | [Notebook for MLP](./week02/parameter_estimation(MLP).ipynb)
[Notebook for MPE](./week02/parameter_estimation(MPE).ipynb)
[PBH & SGWB (arXiv)](https://arxiv.org/abs/2107.02181) | | 3 | 2023-12-10 | [Soojin Lee](https://github.com/LSJ957) | Data analysis using ParticleNet | [Note (PDF)](https://www.dropbox.com/scl/fi/8j3lwe1lwmbp9zqs45c6q/week03_dataanalysisusingParticleNet.pdf?rlkey=p60wuayi4otj4o17cjmvs2xim&dl=0)
[ParticleNet (arXiv)](https://arxiv.org/abs/1902.08570)
[DGCNN (arXiv)](https://arxiv.org/abs/1801.07829) | | 4 | 2023-12-17 | [Tae-Geun Kim](https://github.com/Axect) | Transformer review &
The principle of least action | [Slide for Transformer (PDF)](https://www.dropbox.com/scl/fi/nf1g4f3emxk2ujkhfo6ay/main.pdf?rlkey=c5op944bvdgvai5tank85f278&dl=0)
[Slide for Least Action (PDF)](https://www.dropbox.com/scl/fi/1keofwp8gjoa9ckjl4p1u/main.pdf?rlkey=hkypjuoeuwidj2aqa51swgnwa&dl=0)
[Least_Action (Github)](https://github.com/Axect/Least_Action)
[RL for Least Action (arXiv)](https://arxiv.org/abs/2011.11891) | | 5 | 2023-12-23 | [Donghun Yi](https://github.com/YiDonghun)
[Tae-Geun Kim](https://github.com/Axect) | **The first offline meeting**
D. Yi: Hyperspectral Imaging
T.-G. Kim: AI News | [Weak-to-strong generalization](https://openai.com/research/weak-to-strong-generalization)
[life2vec (Github)](https://github.com/SocialComplexityLab/life2vec)
[Coscientist](https://www.cmu.edu/news/stories/archives/2023/december/cmu-designed-artificially-intelligent-coscientist-automates-scientific-discovery)
[Forecasting of chaotic systems](https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.5.043252)
[LLM inference in single gpu](https://ai.gopubby.com/unbelievable-run-70b-llm-inference-on-a-single-4gb-gpu-with-this-new-technique-93e2057c7eeb)
[Midjourney v6](https://mid-journey.ai/midjourney-v6-release/) | | 6 | 2024-01-21 | [Tae-Geun Kim](https://github.com/Axect) | More about Least Action | [Least_Action (Github)](https://github.com/Axect/Least_Action) | | 7 | 2024-02-04 | [Soojin Lee](https://github.com/LSJ957) | 3D Gaussian Splatting | [3D Gaussian Splatting (Web)](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/)
[NeRF (arXiv)](https://arxiv.org/abs/2003.08934) | | 8 | 2024-02-18 | [Jinheung Kim](https://github.com/jinheungkim1216) | Review of GNN | [Slide](./week08/GNN.pdf)
[A review of GNN (Article)](https://journalofbigdata.springeropen.com/articles/10.1186/s40537-023-00876-4)
[GNN in Particle Physics (arXiv)](https://arxiv.org/abs/2007.13681) | | 9 | 2024-02-25 | [Yeji Park](https://github.com/hiilynn) | Predict Hubble constant | [Jupyter notebook](./week09/gaussian_approximation.ipynb)
[DL approach to Hubble parameter (Article)](https://www.sciencedirect.com/science/article/abs/pii/S0010465520304033) | | 10 | 2024-03-10 | [Donghun Yi](https://github.com/YiDonghun) | Self supervised learning | [SSL: A Succinct Review (Article)](https://link.springer.com/article/10.1007/s11831-023-09884-2)
[Predicting Image Rotations (arXiv)](https://arxiv.org/abs/1803.07728)
[Solving Jigsaw Puzzles (arXiv)](https://arxiv.org/abs/1603.09246)
[Image Colorization (Article)](https://www.mdpi.com/1424-8220/22/4/1599) | | 11 | 2024-03-24 | [Tae-Geun Kim](https://github.com/Axect) | AI news & DeepONet | [DeepONet from scratch (Github)](https://github.com/Axect/DeepONet_from_scratch)
[DeepONet (Journal)](https://doi.org/10.1038/s42256-021-00302-5)
[Claude3 (Article)](https://v.daum.net/v/20240323133015201)
[Devin](https://www.cognition-labs.com/introducing-devin)
[Mamba (arXiv)](https://arxiv.org/abs/2312.00752) | | 12 | 2024-04-07 | [Donghun Yi](https://github.com/YiDonghun) | Anomaly detection in HSI | [Proxy based HSI (Article)](https://ieeexplore.ieee.org/document/9349481) | | 13 | 2024-05-11 | [Tae-Geun Kim](https://github.com/Axect) | AI news & Neural Hamilton | [Neural Hamilton (Slide)](https://www.dropbox.com/scl/fi/7j12pbne9ji79g2q8gq3d/main.pdf?rlkey=qpbi9mfghxhfqmp9wlcehhzi5&st=fqmdvror&dl=0)
[KAN (arXiv)](https://arxiv.org/abs/2404.19756)
[Awesome KAN (Github)](https://github.com/mintisan/awesome-kan)
[Phi 3 (arXiv)](https://arxiv.org/abs/2404.14219) | | 14 | 2024-05-19 | [Yeji Park](https://github.com/hiilynn) | RL for Primordial Perturbation | [2401.11142](https://arxiv.org/abs/2401.11142) | | 15 | 2024-06-02 | [Soojin Lee](https://github.com/LSJ957) | Heterogenous Graph Attention Network | [HAN (arXiv)](https://arxiv.org/abs/1903.07293)
[HAN (Github)](https://github.com/Jhy1993/HAN)
[PyTorch HAN (Github)](https://github.com/taishan1994/pytorch_HAN) | | 16 | 2024-06-16 | [Tae-Geun Kim](https://github.com/Axect) | Mamba & SSMs | [Slide (PDF)](https://www.dropbox.com/scl/fi/np8bg9az5ugmsvtio8ouy/main.pdf?rlkey=mp9b02ebct3xpraj9qu9opdwz&st=x2hifflc&dl=0)
[Mamba (arXiv)](https://arxiv.org/abs/2312.00752)
[S4 (arXiv)](https://arxiv.org/abs/2111.00396)
[HiPPO (arXiv)](https://arxiv.org/abs/2008.07669) | | 17 | 2024-06-30 | [Soojin Lee](https://github.com/LSJ957) | Kolmogorov-Arnold Network | [KAN (arXiv)](https://arxiv.org/abs/2404.19756)
[PyKAN (Github)](https://github.com/KindXiaoming/pykan) | | 18 | 2024-07-07 | [Soojin Lee](https://github.com/LSJ957) | KAN Part 2 | [KAN (arXiv)](https://arxiv.org/abs/2404.19756)
[BSpline (PDF)](https://hovey.github.io/docs/Hovey_2022_Bezier_B-Spline_SAND2022-7702_C.pdf) | | 19 | 2024-07-13 | [Jinheung Kim](https://github.com/jinheungkim1216) | Survey of KAN | [Slide (pdf)](./week19/KAN_Survey.pdf) | | 20 | 2024-07-27 | [Yeji Park](https://github.com/hiilynn) | NN based reconstruction for pnG | [paper (arXiv)](https://arxiv.org/abs/2305.07018)
[U-Net (arXiv)](https://arxiv.org/abs/1505.04597) |

Owner

  • Name: Tae-Geun Kim
  • Login: Axect
  • Kind: user
  • Location: Seoul, South Korea
  • Company: Yonsei Univ.

Ph.D student of particle physics & Rustacean

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