ML4TS notebooks

These notebooks are used in the course on "Machine Learning for Time Series" at ENSAI.

To install the required packages, you can rely on the requirements.txt file:

pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
audio		audio
chroma_npy		chroma_npy
data		data
wav_npy		wav_npy
.gitignore		.gitignore
00_homework.ipynb		00_homework.ipynb
00_homework_ideas.ipynb		00_homework_ideas.ipynb
01_dtw.ipynb		01_dtw.ipynb
01_dtw_sol.ipynb		01_dtw_sol.ipynb
02_softdtw.ipynb		02_softdtw.ipynb
02_softdtw_sol.ipynb		02_softdtw_sol.ipynb
03_align4ml.ipynb		03_align4ml.ipynb
03_align4ml_end.ipynb		03_align4ml_end.ipynb
03_align4ml_sol.ipynb		03_align4ml_sol.ipynb
04_deepnets_keras.ipynb		04_deepnets_keras.ipynb
04_deepnets_keras_end.ipynb		04_deepnets_keras_end.ipynb
04_deepnets_keras_sol.ipynb		04_deepnets_keras_sol.ipynb
05_attention.ipynb		05_attention.ipynb
05_attention_intermediate.ipynb		05_attention_intermediate.ipynb
05_attention_sol.ipynb		05_attention_sol.ipynb
README.md		README.md
audio.tar.gz		audio.tar.gz
requirements.txt		requirements.txt
utils_audio.py		utils_audio.py

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