Phil Wang aece9c2a2a help researchers in need of 1d ddpm, ex. https://github.com/lucidrains/denoising-diffusion-pytorch/issues/116

2022-11-05 11:42:00 -07:00

..

__init__.py

help researchers in need of 1d ddpm, ex. https://github.com/lucidrains/denoising-diffusion-pytorch/issues/116

2022-11-05 11:42:00 -07:00

continuous_time_gaussian_diffusion.py

add option for random fourier features, given misinterpretation of Katherine's code, thanks to @tmabraham for addressing this in https://github.com/lucidrains/denoising-diffusion-pytorch/issues/112

2022-10-30 09:32:06 -07:00

denoising_diffusion_pytorch_1d.py

help researchers in need of 1d ddpm, ex. https://github.com/lucidrains/denoising-diffusion-pytorch/issues/116

2022-11-05 11:42:00 -07:00

denoising_diffusion_pytorch.py

add the v-parameterization from Salimans et al for the discrete case, allow for distillation

2022-10-30 09:53:28 -07:00

elucidated_diffusion.py

add option for random fourier features, given misinterpretation of Katherine's code, thanks to @tmabraham for addressing this in https://github.com/lucidrains/denoising-diffusion-pytorch/issues/112

2022-10-30 09:32:06 -07:00

learned_gaussian_diffusion.py

add the new self conditioning technique from hintons group from bit diffusion paper

2022-08-10 10:52:07 -07:00

v_param_continuous_time_gaussian_diffusion.py

add option for random fourier features, given misinterpretation of Katherine's code, thanks to @tmabraham for addressing this in https://github.com/lucidrains/denoising-diffusion-pytorch/issues/112

2022-10-30 09:32:06 -07:00

weighted_objective_gaussian_diffusion.py

add the new self conditioning technique from hintons group from bit diffusion paper

2022-08-10 10:52:07 -07:00