Anduin1109
Name: 刘纯宇 College: 上海交通大学 (Liu Chunyu from Shanghai Jiao Tong University)
Shanghai Jiao Tong UniversityShanghai, China
Anduin1109's Stars
design1111/Computer_interview
计算机面试八股文整理
nxpeng9235/MachineLearningFAQ
Machine Learning FAQ
hojonathanho/diffusion
Denoising Diffusion Probabilistic Models
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
Stability-AI/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
CompVis/stable-diffusion
A latent text-to-image diffusion model
zixian2021/AI-interview-cards
最完整的AI算法面试题目仓库,1000道,25个类目
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
state-spaces/mamba
Mamba SSM architecture
jusiro/FLAIR
FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.
MLOPTPSU/FedTorch
FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
atuannguyen/FedSR
adap/flower
Flower: A Friendly Federated Learning Framework
rmaphoh/RETFound_MAE
RETFound - A foundation model for retinal image
deepdrdoc/DeepDRiD
Automated machine learning can facilitate the early diagnosis and timely treatment of diabetic retinopathy. Following the 1st Diabetic Retinopathy: Segmentation and Grading Challenge held with ISBI in 2018, we would like to promote the progress further through 2nd challenge using a new dataset, Deep Diabetic Retinopathy Image Dataset (DeepDRiD). The challenge is subdivided into three tasks as follows: A. Dual-View Disease Grading: Classification of fundus images according to the severity level of diabetic retinopathy using dual view retinal fundus images. B. Image Quality Estimation: Fundus quality assessment for overall image quality, artifacts, clarity, and field definition. C. Transfer Learning: Explore the generalizability of a Diabetic Retinopathy (DR) grading system. The robust and generalizable models are expected to be developed to solve clinical issues in reality.
straight-tamago/misaka
iOS & tvOS customisation tool for KFD & MDC
QUVA-Lab/e2cnn_experiments
Experiment for General E(2)-Equivariant Steerable CNNs
QUVA-Lab/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
wy-luke/Unity-TextMeshPro-Chinese-Characters-Set
用以创建 Unity TextMeshPro 中文字体,3500 / 7000 常用汉字库、符号库。Used to create Unity TextMeshPro Chinese font.
wxxxcxx/ms-ra-forwarder
免费的在线文本转语音API
continue-revolution/sd-webui-segment-anything
Segment Anything for Stable Diffusion WebUI
rush2406/Diabetic-Retinopathy-detection
An ensembling based approach to grade severity of DR from fundus photographs
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
yaagl/yet-another-anime-game-launcher
Discord server https://discord.gg/HrV52MgSC2 QQ频道 https://pd.qq.com/s/1dwwmkgq4
overtools/OWLib
Toolchain that lets you interact with the Overwatch files and extract models and stuff.
lesuixin/Hearthstone-Hearthbuddy
Hearthstone 炉石传说 Hearthbuddy 炉石兄弟
luopeiyu/unity_net_book
《Unity3D网络游戏实战(第二版)》以制作一款完整的多人坦克对战游戏为例,详细介绍网络游戏的开发过程。透过本书,读者能够掌握Unity网络游戏开发的大部分知识,能够深入了解TCP底层机制,能够亲自搭建一套可重复使用的客户端框架,也能够从框架设计中了解商业游戏的设计思路。
flowingwings/My-LeetCode-Solutions
As the title describes, this is a repo of my LeetCode solutions.
gly2000/StickFlight