collection-of-notebooks vs AuViMi

collection-of-notebooks

Сollection of various notebooks (by tg-bomze)

AuViMi

AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken. (by NotNANtoN)

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collection-of-notebooks		AuViMi
	Project
1	Mentions	1
103	Stars	9
-	Growth	-
1.8	Activity	0.0
about 1 year ago	Latest Commit	almost 3 years ago
Jupyter Notebook	Language	Python
-	License	GNU General Public License v3.0 only

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.

collection-of-notebooks

Posts with mentions or reviews of collection-of-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

test
21 projects | /r/u_Wiskkey | 3 Apr 2022

(Added Feb. 5, 2021) Text2Image_v3 - Colaboratory by tg_bomze. Uses BigGAN (default) or Sigmoid to generate images. GitHub.

AuViMi

Posts with mentions or reviews of AuViMi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

test
21 projects | /r/u_Wiskkey | 3 Apr 2022

(Added Mar. 16, 2021) AuViMi by NotNANtoN. Uses BigGAN or SIREN to generate images.

What are some alternatives?

When comparing collection-of-notebooks and AuViMi you can also consider the following projects:

aphantasia - CLIP + FFT/DWT/RGB = text to image/video

stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP

stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.

StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

VectorAscent - Generate vector graphics from a textual caption

big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

Colab-BigGANxCLIP

Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation