Some implemented features that may become useful later:
Homeworks
-
HW2, part1:
- plotting with customizable layout (HW2, part1),
plt.GridSpecfrommatplotlib.pyplot - highlighting cells of pd.DataFrame object,
.style.apply(color_fn) - example of two aligned horizontal barplots with adjusted tick labels
- plotting with customizable layout (HW2, part1),
-
HW2, part2:
- theory problems
-
HW3, part1:
- nothing
-
HW3, part2:
- a bit of theory, just a smattering
There were 4 homeworks; HW1 and HW4 contained nothing useful, so I didn't upload them
Project
See the project description in the project folder
- Exponentially dilated causal convolutions
- Recurrent and convolutional encoder for time series
- Recurrent and convolutional decoder for time series
- Convolutional classifier for time series
- Convolutional Regressor for time series reconstruction from persistence landscapes
- Oversampling technique (implemented in PyTorch)
- Some other tools