Stars
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.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
High-Resolution Image Synthesis with Latent Diffusion Models
Reference PyTorch implementation and models for DINOv3
An adversarial example library for constructing attacks, building defenses, and benchmarking both
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Segment Anything in Medical Images
Repository containing notebooks of my posts on Medium
Code for the Lovász-Softmax loss (CVPR 2018)
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode…
A Toolbox for Adversarial Robustness Research
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
[NeurIPS 2021] You Only Look at One Sequence
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet
cell detection in calcium imaging recordings
A PyTorch implementation of PointRend: Image Segmentation as Rendering
DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
📓 DeepLearning and CV notes.
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
Baselines for the Image Matching Benchmark and Challenge
The BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
[ICCV 2023 Oral] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification