https://github.com/aboucaud/euclid-school-2023
Content for ML lecture at Euclid-Rodolphe Cledassou summer school 2023
Science Score: 10.0%
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Links to: arxiv.org -
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Low similarity (8.1%) to scientific vocabulary
Repository
Content for ML lecture at Euclid-Rodolphe Cledassou summer school 2023
Basic Info
- Host: GitHub
- Owner: aboucaud
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 52.9 MB
Statistics
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ML lectures - Rodolphe Clédassou summer school 2023
Marc Huertas-Company (IAC) and Alexandre Boucaud (APC)
August 2023
Lectures
Cycle 1
Cycle 2
- Introduction and neural networks recap from cycle 1 - HTML slides
- Probabilistic neural networks - PDF
- Convolutional networks - PDF
- Image2image networks and Transformers - PDF
- Attention mechanism and Graph networks - PDF
- Introduction to MLOps - HTML slides
Cycle 3
- Slides to come soon
- Friday Zoom recording | Recording code: CqBP?5b!Y^
Notebooks
Cycle 1
Setup
To run the notebooks locally, install the dependencies from the requirements.txt
shell
python -m pip install -r requirements.txt
[!WARNING] macOS users with M1/M2 processors please follow the instructions below to install TensorFlow (otherwise the notebook kernel will die at the beginning) Apple M1/M2 specific TensorFlow installation
Cycle 2
[!WARNING] For cycle 2 and 3, those not using Google Colab links must first run the dataset creation steps below before starting with the notebooks.
Instructions for the notebook:
- choose one simulation between
IllustrisTNG(dataset version1.0.0) andSIMBA(dataset version1.0.1) - execute Part 1 and 2 whose goal is to predict $\Omega_M$ and try to improve the results of the MLP
- try to apply the networks trained with one simulation to the other one
- move on to Part 3 where we try to predict $\sigma8$ and $\OmegaM$
An alternative is to try the notebook on Google Colab (need a Google account).
Cycle 3
[!WARNING] For cycle 2 and 3, those not using Google Colab links must first run the dataset creation steps below before starting with the notebooks.
References
- https://arxiv.org/abs/2201.02202
- https://camels.readthedocs.io/en/latest/index.html
Owner
- Name: Alexandre Boucaud
- Login: aboucaud
- Kind: user
- Location: Paris, France
- Company: Laboratoire APC, CNRS/IN2P3
- Website: https://aboucaud.github.io
- Repositories: 66
- Profile: https://github.com/aboucaud
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Dependencies
- seaborn *
- tensorflow *
- tensorflow-datasets *
- tensorflow-probability *