HyperGAN VS DETReg

Compare HyperGAN vs DETReg and see what are their differences.

DETReg

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection". (by amirbar)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
HyperGAN DETReg
2 1
1,190 332
0.1% -
0.0 2.8
over 1 year ago 9 months ago
Python Python
MIT License Apache License 2.0
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.

HyperGAN

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

DETReg

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

What are some alternatives?

When comparing HyperGAN and DETReg you can also consider the following projects:

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

protein-bert-pytorch - Implementation of ProteinBERT in Pytorch

hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

ContraD - Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code

pytorch-pretrained-BigGAN - 🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

ALAE - [CVPR2020] Adversarial Latent Autoencoders

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".