score_sde
Generative model framework
An implementation of score-based generative modeling through stochastic differential equations
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
2k stars
19 watching
205 forks
Language: Jupyter Notebook
last commit: almost 2 years ago controllable-generationdiffusion-modelsflaxgenerative-modelsiclr-2021inverse-problemsjaxscore-based-generative-modelingscore-matchingstochastic-differential-equations
Related projects:
| Repository | Description | Stars |
|---|---|---|
| yang-song/score_sde_pytorch | Provides a unified framework for score-based generative models using stochastic differential equations | 1,753 |
 nvlabs/edm | This project provides a set of tools and techniques to design and improve diffusion-based generative models. | 1,399 |
 drckf/paysage | An unsupervised learning and generative models library for Python, focusing on probabilistic models and efficient computation. | 119 |
 sciml/diffeqr | Provides an R interface to solve differential equations using DifferentialEquations.jl | 141 |
 horchler/sdetools | A Matlab toolbox for numerically solving stochastic differential equations | 99 |
 sheffieldml/multigp | Software for modeling and prediction with multiple output Gaussian processes | 48 |
 south-hw/fedpara_iclr22 | A collaborative deep learning framework that enables private and efficient model updates in distributed settings | 9 |
 algolzw/image-restoration-sde | Image restoration software using stochastic differential equations | 580 |
 bowang-lab/scgpt | A Jupyter Notebook-based framework for training and applying generative AI models to single-cell multi-omics data | 1,039 |
 johnowhitaker/tglcourse | A course teaching generative modelling using deep learning and Jupyter Notebooks | 133 |
 jaxgaussianprocesses/gpjax | Provides a low-level interface to Gaussian process models in JAX for flexible extension and customisation | 461 |
 gdisag/gradient_disaggregation | An algorithm that breaks secure aggregation protocols in federated learning by recovering individual model updates from aggregated sums | 14 |
 jgcri/gcam-core | A dynamic-recursive model used to explore the consequences and responses to global change | 292 |
 dfm/tinygp | A lightweight library for building Gaussian Process models in Python | 296 |
 cmusustainability/sdgmapr | Provides R functions and datasets for mapping text to the UN's 17 Sustainable Development Goals | 12 |