score_sde
pytorch-generative
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| score_sde | pytorch-generative | |
|---|---|---|
| 6 | 1 | |
| 1,242 | 400 | |
| - | - | |
| 0.0 | 3.4 | |
| over 1 year ago | 7 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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score_sde
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[D] Variance of sampling in diffusion models
Perhaps the ODE interpretation would be helpful (see here and here) which turns DDPMs into neural ODEs using the Fokker-Planck equation so after the initial starting noise, the sampling process is deterministic. If samples are noisy even with the full number of steps then you might need to increase the number of steps further.
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[D] Why is the diffution model so powerful? but the math behind it is so simple.
Turns out that diffusion models also define a certain differential equation, making it a neural ODE. Then you can just integrate the ODE in the other direction to get the exact inverse for the DDPM (it's not entirely exact b/c of numerical error in the solver, but close enough)
- [D] Are DDPMs a variation on Score Based Generative Modeling? Or is there a fundemental difference between the two?
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Diffusion Models Beat GANs on Image Synthesis
This new approach to generative modelling looks very intriguing.
In a similar ilk, there's this ICLR paper from this year using stochastic differential equations for generative modelling: https://arxiv.org/abs/2011.13456
- [D] Efficient, concurrent input pipelines in JAX?
pytorch-generative
What are some alternatives?
guided-diffusion
gansformer - Generative Adversarial Transformers
SDE - Example codes for the book Applied Stochastic Differential Equations
Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
animegan2-pytorch - PyTorch implementation of AnimeGANv2
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
vq-vae-2-pytorch - Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
naver-webtoon-faces - Generative models on NAVER Webtoon faces
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
smaller-transformers - Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.