SpecVQGAN VS pollinations

Compare SpecVQGAN vs pollinations and see what are their differences.

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SpecVQGAN pollinations
2 32
318 197
- 5.6%
2.2 9.2
11 months ago 11 days ago
Jupyter Notebook Python
MIT License 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.

SpecVQGAN

Posts with mentions or reviews of SpecVQGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-19.

pollinations

Posts with mentions or reviews of pollinations. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-20.

What are some alternatives?

When comparing SpecVQGAN and pollinations you can also consider the following projects:

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

vid2cleantxt - Python API & command-line tool to easily transcribe speech-based video files into clean text

tubesync - Syncs YouTube channels and playlists to a locally hosted media server

MoViNet-pytorch - MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

stable-diffusion-webui-colab - stable diffusion webui colab

ru-dalle - Generate images from texts. In Russian

dalle-2-preview

awesome-python-applications - 💿 Free software that works great, and also happens to be open-source Python.

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

BMT - Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

sysidentpy - A Python Package For System Identification Using NARMAX Models