ALAE VS checkface

Compare ALAE vs checkface and see what are their differences.

Our great sponsors
  • Scout APM - Less time debugging, more time building
  • OPS - Build and Run Open Source Unikernels
  • SonarLint - Deliver Cleaner and Safer Code - Right in Your IDE of Choice!
ALAE checkface
1 1
3,201 13
- -
0.0 4.2
about 1 year ago 15 days ago
Python Python
- GNU General Public License v3.0 or later
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.

ALAE

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

checkface

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

What are some alternatives?

When comparing ALAE and checkface you can also consider the following projects:

jukebox - Code for the paper "Jukebox: A Generative Model for Music"

simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch

stargan-v2 - StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

StyleGAN_PyTorch - The implementation of StyleGAN on PyTorch 1.0.1

lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

StyleFlow - StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

torch-metrics - Metrics for model evaluation in pytorch

sequitur - Library of autoencoders for sequential data

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁

aitg - plug and play gpt-2/3 (and more) for http api or command line!

gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"