Skip to content
#

classification

Here are 8,794 public repositories matching this topic...

archwolf118
archwolf118 commented Feb 3, 2022

If there is a hot key (move the image from left to right) can get the feature when I was annotating the polygon.
The scroll of mouse can achieve the up and down direction of image, but if I need the move the image from left to right, I have to drag the bottom bar.
If there is a hotkey to drag the whole image or to move the image horizontal?
Thank you!

enhancement good first issue
ychong
ychong commented Feb 8, 2018

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

enhancement good first issue
ngupta23
ngupta23 commented Apr 16, 2022

Is your feature request related to a problem? Please describe.
In time series plotting module, lot of plots are customized at the end - template, fig size, etc. Since the same code is repeated in all these plots, maybe this could be modularized and reused.

with fig.batch_update():
    template = _resolve_dict_keys(
        dict_=fig_kwargs, key="template", defaults=fig_default
enhancement good first issue time_series plots
jwmueller
jwmueller commented May 6, 2022

Currently the X argument of CleanLearning.fit() does not seem to support non-array data.
Perhaps this is due to the sklearn function check_X_y() called inside CleanLearning, which we could replace.
Or perhaps it's due to how the cross-validation is currently being implemented.

However these are both easy to improve to rid the restriction that only array data are supported.
Seems e

enhancement good first issue urgent

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  • Updated May 29, 2022
  • Jupyter Notebook

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

  • Updated Oct 1, 2020
  • Jupyter Notebook
davebulaval
davebulaval commented Nov 6, 2020

Add a way to change the sample id output in the annotation process to a specific number (see picture).

image

Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to

enhancement good first issue

Improve this page

Add a description, image, and links to the classification topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the classification topic, visit your repo's landing page and select "manage topics."

Learn more