PIDM
score_sde
| PIDM | score_sde | |
|---|---|---|
| 1 | 6 | |
| 457 | 1,242 | |
| - | - | |
| 6.2 | 0.0 | |
| 2 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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PIDM
score_sde
- Ask HN: How to get back into AI?
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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?
What are some alternatives?
guided-diffusion
pytorch-generative - Easy generative modeling in PyTorch.
SDE - Example codes for the book Applied Stochastic Differential Equations
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
course-content - NMA Computational Neuroscience course
minDiffusion - Self-contained, minimalistic implementation of diffusion models with Pytorch.
NNfSiX - Neural Networks from Scratch in various programming languages
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]