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cisfa_da

conditional_diffusion_mnist

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

convmae

ConvMAE: Masked Convolution Meets Masked Autoencoders

convnext-v2

Code release for ConvNeXt V2 model

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

datasciencecoursera

datasharing

The Leek group guide to data sharing

dclgan

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.

ddib

Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.

deeplearning

Deep Learning (Python, C/C++, Java, Scala, Go)

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

domain_adaptation_shape_prior

dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

drit

Learning diverse image-to-image translation from unpaired data

hkpic

img2img_sa

Unsupervised Image-to-Image Translation with Self-Attention Networks Official PyTorch Implementation (IEEE BigComp 2020, This paper has been accepted as a REGULAR paper presented at IEEE International Conference on BigComp 2020)

internimage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lld-mmri2023

Liver Lesion Diagnosis Challenge on Multi-phase MRI

mc-ddpm

Code for MC-DDPM

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

mindiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

mt-uda

[MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels"

munit

Multimodal Unsupervised Image-to-Image Translation

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

native_clan

( TPAMI2021 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

nice-gan-pytorch

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

odada

code for our ODADA.

pro-ugatit

based on UGATIT.