NUWA VS anthology-of-ml-for-ai-art

Compare NUWA vs anthology-of-ml-for-ai-art and see what are their differences.

NUWA

A unified 3D Transformer Pipeline for visual synthesis (by microsoft)

anthology-of-ml-for-ai-art

like dmarx/anthology-of-machine-learning, but focused on important papers in AI art (by dmarx)
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NUWA anthology-of-ml-for-ai-art
23 1
2,794 5
-0.0% -
3.3 4.4
11 months ago 2 months ago
- 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.
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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.

anthology-of-ml-for-ai-art

Posts with mentions or reviews of anthology-of-ml-for-ai-art. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-25.

What are some alternatives?

When comparing NUWA and anthology-of-ml-for-ai-art 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"

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

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

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

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]

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

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.

theseus - A library for differentiable nonlinear optimization

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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