2023-ProbAI

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Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023

2023-ProbAI 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# ProbAI 2023 - Probabilistic Programming, Variational Inference and Optimization Tutorial with Pyro

## Day 1 (June 12 -- 1pm - 4pm)
* [Slides](https://github.com/PGM-Lab/2023-ProbAI/raw/main/Day1/probAI-day1.pdf)
* Notebook: [students_PPLs_Intro](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day1/notebooks/students_PPLs_Intro.ipynb)
* Notebook: [solutions_PPLs_Intro](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day1/notebooks/solutions_PPLs_Intro.ipynb)

## Day 2 - Before Lunch (June 13 -- 9am-12pm)
* [Slides](https://github.com/PGM-Lab/2023-ProbAI/raw/main/Day2-BeforeLunch/probAI-day2_before_lunch.pdf)
* Notebook: [students_simple_model](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-BeforeLunch/notebooks/students_simple_model.ipynb)
* Notebook: [solutions_simple_model](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-BeforeLunch/notebooks/solution_simple_model.ipynb)
* Notebook: [CAVI-linreg](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-BeforeLunch/notebooks/CAVI-linreg.ipynb)

## Day 2 - After Lunch (June 13 -- 1pm-4pm)
* [Slides](https://github.com/PGM-Lab/2023-ProbAI/raw/main/Day2-AfterLunch/probAI-day2_after_lunch.pdf)
* Notebook: [BayesianNeuralNetworks](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/BayesianNeuralNetworks.ipynb)
* Notebook: [students_BBVI](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/students_BBVI.ipynb)
* Notebook: [solutions_BBVI](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/solutions_BBVI.ipynb)
* Notebook: [student_simple_gaussian_model_pyro](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/student_simple_gaussian_model_pyro.ipynb)
* Notebook: [solution_simple_gaussian_model_pyro](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/solution_simple_gaussian_model_pyro.ipynb)
* Notebook: [Bayesian_linear_regression](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/bayesian_linear_regression.ipynb)
* Notebook: [students_bayesian_logistic_regression](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/students_bayesian_logistic_regression.ipynb)
* Notebook: [solutions_bayesian_logistic_regression](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-AfterLunch/notebooks/solutions_bayesian_logistic_regression.ipynb)

## Day 2 - Evening (June 13 -- 4.30pm-5.30pm)
* [Slides](https://github.com/PGM-Lab/2023-ProbAI/raw/main/Day2-Evening/probAI-day2_evening.pdf)
* Notebook: [students_VAE](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-Evening/notebooks/students_VAE.ipynb)
* Notebook: [solutions_VAE](https://colab.research.google.com/github/PGM-Lab/2023-ProbAI/blob/main/Day2-Evening/notebooks/solutions_VAE.ipynb)

2023-ProbAI

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