modular-diffusion
Papers-in-100-Lines-of-Code
| modular-diffusion | Papers-in-100-Lines-of-Code | |
|---|---|---|
| 1 | 3 | |
| 257 | 587 | |
| - | - | |
| 8.0 | 5.4 | |
| 7 months ago | 13 days ago | |
| Python | Python | |
| MIT License | MIT License |
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modular-diffusion
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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!
Papers-in-100-Lines-of-Code
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How do I run this code from Papers in 100 lines of code?
I wanted to try the some code written by Maxime Vandegar https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/KiloNeRF_Speeding_up_Neural_Radiance_Fields_with_Thousands_of_Tiny_MLPs
- [P] Implementation of research papers (GANs, VAEs, 3d reconstruction, ...) in 100 lines of PyTorch code
- [P] Papers-in-100-Lines-of-Code: Implementation of research papers (GANs, VAEs, Meta-learning, 3d reconstruction, ...) in 100 lines of PyTorch code.
What are some alternatives?
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MTR - The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"
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magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
giraffe - This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"