minimal-text-diffusion
A minimal implementation of diffusion models for text generation (by madaan)
modular-diffusion
Python library for designing and training your own Diffusion Models with PyTorch. (by cabralpinto)
| minimal-text-diffusion | modular-diffusion | |
|---|---|---|
| 2 | 1 | |
| 261 | 255 | |
| - | - | |
| 4.9 | 8.0 | |
| 12 months ago | 7 months ago | |
| Python | 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.
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.
minimal-text-diffusion
Posts with mentions or reviews of minimal-text-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects.
- Is there any nano-gpt/pico-gpt like implementation available for stable-diffusion models?
-
[D] would diffusion language models make sense?
In case you’re interested, I have a minimal implementation here: https://github.com/madaan/minimal-text-diffusion
modular-diffusion
Posts with mentions or reviews of modular-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects.
-
I Built a Modular Python Library for Designing and Training Diffusion Models from Scratch
Last week, I released a project I've been working on for months: Modular Diffusion. It's a modular Python library for designing and training your own Diffusion Models in just a few lines of code. I also wrote a documentation page. The project has already gotten some great community feedback and I'm hoping you guys like it too!
What are some alternatives?
When comparing minimal-text-diffusion and modular-diffusion you can also consider the following projects:
DiffSBDD - A Euclidean diffusion model for structure-based drug design.
GODEL - Large-scale pretrained models for goal-directed dialog
ImageReward - [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
DDPM_inversion - Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.