NUWA VS theseus

Compare NUWA vs theseus and see what are their differences.

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NUWA theseus
23 3
2,795 1,599
0.5% 2.1%
3.3 8.1
11 months ago 3 months ago
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.

NUWA

Posts with mentions or reviews of NUWA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-13.

theseus

Posts with mentions or reviews of theseus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-06.

What are some alternatives?

When comparing NUWA and theseus you can also consider the following projects:

CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

DALLE2-video - Direct application of DALLE-2 to video synthesis, using factored space-time Unet and Transformers

hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

min-dalle - min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

Unicorn - [ECCV'22 Oral] Towards Grand Unification of Object Tracking

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]

deeplab2 - DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.