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Pytorch implementation of MICCAI-2022 paper, Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach https://arxiv.org/pdf/2207.00844.pdf
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition
Huggingface Transformers + Adapters = ❤️
The implementation of Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Google Brain AutoML
AI与数据科学各类工具库速查表与参考代码
The author's officially unofficial PyTorch BigGAN implementation.
Authors official implementation of "Big GANs Are Watching You" pre-print
Repository for CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
Let us control diffusion models!
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Official implementation of CrossViT. https://arxiv.org/abs/2103.14899
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
Repository for "Deformable 3D Convolution for Video Super-Resolution", SPL, 2020
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
基于Tensorflow2的深度学习开源书籍
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A Deep Learning based project for colorizing and restoring old images (and video!)
Notebooks for learning deep learning
EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
[ICCV-2023] The official code of Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
This repository contains a framework for building novel adapters and few-shots learning strategies for fine-tuning foundational models in medical image segmentation of volumetric data.
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
[ISVC'20] [Tensorflow] Generating Fluroscein Angiography from Fundus Photography using Conditional GAN
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.