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.

[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

A novel non-pretrained deep supervision network for polyp segmentation

(MICCAI 2021) Automatic Polyp Segmentation via Multi-scale Subtraction Network

深度学习经典、新论文逐段精读

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

Deformable Convolutional Networks

Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (ACMMM 2021)

Offical Code of MICCAI'24 early accepted paper "LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos"

TGANet: Text-guided attention for improved polyp segmentation [Early Accepted & Student Travel Award at MICCAI 2022]

ROS implementation of DWA(Dynamic Window Approach) Planner

自动驾驶规划控制python代码实现

自动驾驶规划控制常用算法c++代码实现

Yet Another Clash Dashboard

clash-for-linux

A curated list of pretrained sentence and word embedding models

creating a dataset for person name disambiguation using combination of sources like wikipedia, DBLP authors and PPDB.

Ruby gem to calculate the similarity between texts using tf*idf

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

A collection of loss functions for medical image segmentation