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Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
ConvMAE: Masked Convolution Meets Masked Autoencoders
Code release for ConvNeXt V2 model
Dual Attention Network for Scene Segmentation (CVPR2019)
The Leek group guide to data sharing
Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.
Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.
Deep Learning (Python, C/C++, Java, Scala, Go)
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Learning diverse image-to-image translation from unpaired data
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)
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
High-Resolution Image Synthesis with Latent Diffusion Models
Liver Lesion Diagnosis Challenge on Multi-phase MRI
Code for MC-DDPM
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.
Self-contained, minimalistic implementation of diffusion models with Pytorch.
[MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels"
Multimodal Unsupervised Image-to-Image Translation
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
( TPAMI2021 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
code for our ODADA.
based on UGATIT.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.