Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Materials for the Hugging Face Diffusion Models Course
| Date | Stars |
|---|---|
| 2026-07-31 | 4345 |
| 2026-08-01 | 4346 |
| 2026-08-02 | 4346 |
| 2026-08-04 | 4348 |
| 2026-08-05 | 4350 |
| 2026-08-06 | 4350 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Hugging Face Diffusion Models Course [](https://github.com/huggingface/diffusion-models-class/blob/main/LICENSE) [](https://github.com/dhakalnirajan/diffusion-models-class) [](https://jupyter.org/try)  In this free course, you will: - 👩🎓 Study the theory behind diffusion models - 🧨 Learn how to generate images and audio with the popular 🤗 Diffusers library - 🏋️♂️ Train your own diffusion models from scratch - 📻 Fine-tune existing diffusion models on new datasets - 🗺 Explore conditional generation and guidance - 🧑🔬 Create your own custom diffusion model pipelines Register via the **[signup form](https://huggingface.us17.list-manage.com/subscribe?u=7f57e683fa28b51bfc493d048&id=ef963b4162)** and then join us on **[Discord](https://discord.gg/aYka4Yhff9)** to get the conversations started. Instructions on how to join specific categories/channels **[are here.](https://discord.com/channels/879548962464493619/1014509271255367701)** ## Syllabus | 📆 Publishing date | 📘 Unit | 👩💻 Hands-on | |---------------|----------------------------------------------------------|----------------------------------------------------------------------------------------------------------| | November 28, 2022 | [An Introduction to Diffusion Models](https://github.com/huggingface/diffusion-models-class/tree/main/unit1)| Introduction to Diffusers and Diffusion Models From Scratch | | December 12, 2022 | [Fine-Tuning and Guidance](https://github.com/huggingface/diffusion-models-class/tree/main/unit2) | Fine-Tuning a Diffusion Model on New Data and Adding Guidance | | December 21, 2022 | [Stable Diffusion](https://github.com/huggingface/diffusion-models-class/tree/main/unit3) | Exploring a Powerful Text-Conditioned Latent Diffusion Model | | January 2023 (TBC) | [Doing More with Diffusion](https://github.com/huggingface/diffusion-models-class/tree/main/unit4) | Advanced Techniques to Take Diffusion Further | More information coming soon! ## Prerequisites - Good skills in Python 🐍 - Basics in Deep Learning and Pytorch If it's not the case yet, you can check these free resources: - Python: https://www.udacity.com/course/introduction-to-python--ud1110 - Intro to Deep Learning with PyTorch: https://www.udacity.com/course/deep-learning-pytorch--ud188 - PyTorch in 60 min: https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html ## FAQ **Is this class free?** Yes, totally free 🥳. **Do I need to have a Hugging Face account to follow the course?** Yes, to push your custom models and pipelines to the hub, you need an account (it's free) 🤗. You can create one here 👉 [https://huggingface.co/join](https://huggingface.co/join) **What’s the format of the class?** The course will consist of at least **4 Units.** More will be added as time goes on, on topics like diffusion for audio. Each unit consists of some theory and background alongside one or more hands-on notebooks. Some units will also contain suggested projects and we'll have competitions and swag for the best pipelines and demos (more details TDB). ## 🌎 Languages and translations Members of the 🤗 community have begun translating the course! We're planning to host this course on the [Hugging Face website](https://huggingface.co/), so if you're interested in contributing a translation, we recommend waiting until we've formatted the English content in it's final form. | Language | Authors | |:---------------------------------------
Excerpt of 4,722 characters
Read on GitHub
Jonathan Whitaker · United States
139
@huggingface · Switzerland
43
Mishig · @huggingface · France
6
Tolga Cangöz
6
6
4
Pauline Bailly-Masson
4
Yury Kashnitsky · Google Cloud · Netherlands
3
3
3
Ikko Eltociear Ashimine · Japan
2
2
2
Remy · Huggingface
1
Chansung Park · Electronics Telecommunications Research Institute (ETRI) · South Korea
1
France
1
adakoda · Japan
1
partho
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:19fa8ce4536ed7fb, desc:course