Handwriting-Transformers
Handwriting-Transformers (ICCV21) (by ankanbhunia)
virgil
The font that powers Excalidraw (by excalidraw)
Handwriting-Transformers | virgil | |
---|---|---|
1 | 5 | |
155 | 481 | |
- | 0.0% | |
6.7 | 0.0 | |
3 months ago | almost 3 years ago | |
Python | HTML | |
MIT License | SIL Open Font License 1.1 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Handwriting-Transformers
Posts with mentions or reviews of Handwriting-Transformers.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Understanding multiple loss.backward()
This code shows the backpropagation of the losses in the generator training. The main question that i have is, why the loss.backward() was done multiple times. what is the reason behind it? wanted a help inorder to understanding it. The above code is from Handwriting Transformers (https://github.com/ankanbhunia/Handwriting-Transformers/blob/main/models/model.py (line 777).
virgil
Posts with mentions or reviews of virgil.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-04.
- Caffè Italia * 05/06/23
- The font that powers Excalidraw
- Ich weiß nicht was ich sagen soll
-
Why is excalidraw so good?
We’ve open sourced the font and made a lot of small but important changes to it over the past 6 months. If you are willing to help, it would be great if you could open an issue with specific words that are difficult to read with your dyslexia and we can figure out how to tweak the font to remove the ambiguity. Thanks for bringing this up!
https://github.com/excalidraw/virgil
- excalidraw/virgil
What are some alternatives?
When comparing Handwriting-Transformers and virgil you can also consider the following projects:
AIVisualProvision - Connect(); 2018 - AI Visual Provision Sample App
coding-fonts - https://coding-fonts.css-tricks.com/
ScrivanoForLinux - Scrivano is a notetaking application for handwritten notes.
public-sans - A strong, neutral, principles-driven, open source typeface for text or display