pytorch-generative VS naver-webtoon-faces

Compare pytorch-generative vs naver-webtoon-faces and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
pytorch-generative naver-webtoon-faces
1 4
403 290
- -
3.4 1.8
8 months ago almost 3 years ago
Python Jupyter Notebook
MIT License MIT License
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.

pytorch-generative

Posts with mentions or reviews of pytorch-generative. We have used some of these posts to build our list of alternatives and similar projects.

naver-webtoon-faces

Posts with mentions or reviews of naver-webtoon-faces. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.

What are some alternatives?

When comparing pytorch-generative and naver-webtoon-faces you can also consider the following projects:

gansformer - Generative Adversarial Transformers

pix2pix - Image-to-image translation with conditional adversarial nets

animegan2-pytorch - PyTorch implementation of AnimeGANv2

ru-dalle - Generate images from texts. In Russian

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

vq-vae-2-pytorch - Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

LLVIP - LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

SOAT - Official PyTorch repo for StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN.

smaller-transformers - Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.