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Code for "Machine Learning for Physicists" (lecture series by Florian Marquardt)

Please see the official course website for 2020, with links to slides, videos (of the lectures and the tutorials), and summaries of the lecture content. You can find more detailed descriptions of the code there.

Usually, there is both a jupyter notebook and the pure python code extracted from the notebook (in case you do not like to use jupyter).

Note: All the code except for the few cases that include code by other people (like tSNE and MNIST; always clearly marked) is hereby provided under the terms of the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license:

https://creativecommons.org/licenses/by-sa/4.0/

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
01_MachineLearning_Basics_NeuralNetworksPython.ipynb		01_MachineLearning_Basics_NeuralNetworksPython.ipynb
01_MachineLearning_Basics_NeuralNetworksPython.py		01_MachineLearning_Basics_NeuralNetworksPython.py
01_tutorial_CurveFitting.ipynb		01_tutorial_CurveFitting.ipynb
01_tutorial_CurveFitting.py		01_tutorial_CurveFitting.py
01_tutorial_NetworkVisualization.ipynb		01_tutorial_NetworkVisualization.ipynb
01_tutorial_NetworkVisualization.py		01_tutorial_NetworkVisualization.py
02_MachineLearning_Backpropagation.ipynb		02_MachineLearning_Backpropagation.ipynb
02_MachineLearning_Backpropagation.py		02_MachineLearning_Backpropagation.py
02_tutorial_NetworkTrainingVisualization.ipynb		02_tutorial_NetworkTrainingVisualization.ipynb
02_tutorial_NetworkTrainingVisualization.py		02_tutorial_NetworkTrainingVisualization.py
03_HandwrittenDigitsRecognition_MNIST.ipynb		03_HandwrittenDigitsRecognition_MNIST.ipynb
03_MultiLayer_ImageCompression.ipynb		03_MultiLayer_ImageCompression.ipynb
03_MultiLayer_ImageCompression.py		03_MultiLayer_ImageCompression.py
03_homework_VisualizingIntermediateLayers.ipynb		03_homework_VisualizingIntermediateLayers.ipynb
03_tutorial_KerasBasics.ipynb		03_tutorial_KerasBasics.ipynb
03_tutorial_KerasBasics.py		03_tutorial_KerasBasics.py
03_tutorial_NetworkTrainingKeras.ipynb		03_tutorial_NetworkTrainingKeras.ipynb
03_tutorial_NetworkTrainingKeras.py		03_tutorial_NetworkTrainingKeras.py
04_homework_ImageRecognition.ipynb		04_homework_ImageRecognition.ipynb
04_homework_ImageRecognition.py		04_homework_ImageRecognition.py
04_tutorial_CNNTraining.ipynb		04_tutorial_CNNTraining.ipynb
04_tutorial_CNNTraining.py		04_tutorial_CNNTraining.py
05_homework_CNN_CirclesToSquares.ipynb		05_homework_CNN_CirclesToSquares.ipynb
05_homework_CNN_CirclesToSquares.py		05_homework_CNN_CirclesToSquares.py
05_tutorial_tSNE.ipynb		05_tutorial_tSNE.ipynb
05_tutorial_tSNE.py		05_tutorial_tSNE.py
06_LSTM_simpleExamples_clean.ipynb		06_LSTM_simpleExamples_clean.ipynb
06_LSTM_simpleExamples_clean.py		06_LSTM_simpleExamples_clean.py
06_homework_autoencoder_tSNE.ipynb		06_homework_autoencoder_tSNE.ipynb
06_homework_autoencoder_tSNE.py		06_homework_autoencoder_tSNE.py
06_tutorial_LSTM.ipynb		06_tutorial_LSTM.ipynb
06_tutorial_LSTM.py		06_tutorial_LSTM.py
07_homework_LSTM_prediction.ipynb		07_homework_LSTM_prediction.ipynb
07_homework_LSTM_prediction.py		07_homework_LSTM_prediction.py
07_tutorial_MazePolicyGradient.ipynb		07_tutorial_MazePolicyGradient.ipynb
07_tutorial_MazePolicyGradient.py		07_tutorial_MazePolicyGradient.py
08_tutorial_MazeDeepPolicyGradient.ipynb		08_tutorial_MazeDeepPolicyGradient.ipynb
08_tutorial_MazeDeepPolicyGradient.py		08_tutorial_MazeDeepPolicyGradient.py
09_Tutorial_BoltzmannMachine.ipynb		09_Tutorial_BoltzmannMachine.ipynb
09_Tutorial_BoltzmannMachine.py		09_Tutorial_BoltzmannMachine.py
09_homework_ImprovedMazeDeepPolicyGradient.ipynb		09_homework_ImprovedMazeDeepPolicyGradient.ipynb
09_homework_ImprovedMazeDeepPolicyGradient.py		09_homework_ImprovedMazeDeepPolicyGradient.py
10_Homework_MNIST_BoltzmannMachine.ipynb		10_Homework_MNIST_BoltzmannMachine.ipynb
10_Homework_MNIST_BoltzmannMachine.py		10_Homework_MNIST_BoltzmannMachine.py
12_KerasCustomLayersExample.ipynb		12_KerasCustomLayersExample.ipynb
12_KerasCustomLayersExample.py		12_KerasCustomLayersExample.py
2020_MachineLearning_Tutorials.pdf		2020_MachineLearning_Tutorials.pdf
LesHouchesMachLearning_Complete2.pdf		LesHouchesMachLearning_Complete2.pdf
README.md		README.md
Smiley.png		Smiley.png

AlexandruHau/machine-learning-for-physicists

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Code for "Machine Learning for Physicists" (lecture series by Florian Marquardt)

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