Ashitaka2

hippo-code

Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

mamba

s4

Structured state space sequence models

edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

SFT-PG

Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023

lora-diffusion

Using Low-rank adaptation to quickly fine-tune diffusion models.

DG_diffusion

Official repo for Discriminator Guidance.

pytorch-ddpm

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

homework_fall2022

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)

generative_models

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

noise2noise-pytorch

PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

pixel_models

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL