ALAE VS torch-metrics

Compare ALAE vs torch-metrics and see what are their differences.

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ALAE torch-metrics
1 2
3,201 98
- -
0.0 2.2
about 1 year ago 10 months ago
Python Python
- 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.

ALAE

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

torch-metrics

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

What are some alternatives?

When comparing ALAE and torch-metrics you can also consider the following projects:

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

ignite - High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

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)

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

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

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

checkface - Putting a face to a hash

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

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