leinusi

leinusi's Stars

• wkentaro/labelme

  Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  Language:Python13.8k3.4k

• SysCV/sam-hq

  Segment Anything in High Quality [NeurIPS 2023]

  Language:Jupyter Notebook3.8k223

• 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.

  Language:Jupyter Notebook48.3k5.7k

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.6k1.1k

• leinusi/xiaorui-Assistant

  A streaming large-scale model assistant web app based on Django.

  Language:Python1

• akarsh-prabhakara/RadarHD

  High resolution point clouds from mmWave radar

  9719

• leinusi/Dynamic-Residual-Feature-Aggregation-Network-DRA-Net-for-Image-Classification

  Language:Jupyter Notebook1

• leinusi/Ozone-Level-Prediction-using-Attention-based-State-Space-Model

  This repository contains the implementation of an attention-based state space model for predicting ozone levels in cities. The model combines attention mechanisms and state space modeling techniques to capture long-term dependencies and dynamic variations in time series data.

  Language:Python3

• leinusi/Dynamic-Residual-Attractor-Network

  1

• Y-debug-sys/Diffusion-TS

  [ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

  Language:Jupyter Notebook21729

• leinusi/SETransformerFusion-A-Multimodal-Fusion-Model-for-Image-and-Blood-Data

  SETransformerFusion is a novel multimodal fusion model that combines visual features from images and blood test data to perform classification tasks. It leverages the power of Squeeze-and-Excitation (SE) blocks and Transformer architecture to effectively capture and fuse the information from both modalities.

  Language:Python2

• johnma2006/mamba-minimal

  Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

  Language:Python2.7k195

• aigc-apps/EasyAnimate

  📺 An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion

  Language:Python1.6k118

• MzeroMiko/VMamba

  VMamba: Visual State Space Models，code is based on mamba

  Language:Python2.3k152

• linhandev/dataset

  医学影像数据集列表 『An Index for Medical Imaging Datasets』

  2.8k380

• YubiaoYue/MedMamba

  This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"

  Language:Python36235

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.6k592

• julrog/nn_vis

  A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

  Language:Python1.1k184

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.5k2.9k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k1.2k

• renmengye/inc-few-shot-attractor-public

  Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"

  Language:Python11927

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python9.1k1.5k

• cshan-github/TongueSAM

  The public project of paper:"TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot"

  Language:Python26

• smahesh29/Django-WebApp

  This is a web-app created using Python, Django. By using this user can login, upload files and also can view and download files uploaded by other users.

  Language:Python465356

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.4k1.7k

• yuliyabohdan/Skin-diseases-classification-Dermnet-

  23 types of skin diseases classification

  Language:Jupyter Notebook4

• xmindflow/DermoSegDiff

  [MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation

  Language:Python6410

• NadavIs56/Skin_Disease_AI

  A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

  Language:PureBasic8020

• WuJie1010/Facial-Expression-Recognition.Pytorch

  A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

  Language:Python1.8k555

• sfu-mial/awesome-skin-image-analysis-datasets

  Datasets for skin image analysis

  256