Awesome-Diffusion-Models
papers-I-read
| Awesome-Diffusion-Models | papers-I-read | |
|---|---|---|
| 6 | 1 | |
| 10,107 | 944 | |
| - | - | |
| 6.1 | 0.0 | |
| 2 months ago | about 1 year ago | |
| HTML | HTML | |
| MIT License | - |
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.
Awesome-Diffusion-Models
-
Ask HN: How do you catch up to the research of LLMs/Transformers etc.?
3. https://github.com/diff-usion/Awesome-Diffusion-Models
-
Awesome-Diffusion-Models
GitHub repository that contains a collection of resources and papers on Diffusion Models: https://github.com/heejkoo/Awesome-Diffusion-Models
- GitHub - heejkoo/Awesome-Diffusion-Models: A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models
-
Wiskkey's lists of text-to-image systems and related resources
(Added Apr. 10, 2022) Awesome Diffusion Models.
-
[D] Introduction to Diffusion Models
I certainly should have looked for a lucidrains implementation, but I also found https://github.com/heejkoo/Awesome-Diffusion-Models which had some helpful links too.
papers-I-read
-
👨‍🎓️📊 Data Scientist— 12 Steps From Beginner to Pro
It is simply impossible to keep track of all publications. The Reddit branches listed above will help to isolate the most important texts (since the author became the head of the AI ​​department at Tesla, the site began to break more often, but it’s still the best tool). There is also such a list of articles with comments and recordings of webinars from the YouTube channel Kaggle with parsing of scientific articles related to data science algorithms.
What are some alternatives?
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
REPL - The Learning Hub for UoL's Online CS Students
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
lela - Lela is a smart dietician who can help you to maintain diet and it also has Yoga posture detection feature where users can practice yoga at their home. https://lela-dietician.herokuapp.com
ML-University - Machine Learning Open Source University
UBB-INFO - All projects from university.
dalle-mini - DALL·E Mini - Generate images from a text prompt
awesome-public-datasets - A topic-centric list of HQ open datasets. [Moved to: https://github.com/awesomedata/awesome-public-datasets]
MachineLearning-BaseballPrediction-BlazorApp - Machine Learning over historical baseball data using latest Microsoft AI & Development technology stack (.Net Core & Blazor)
CogView2 - official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"