[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

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.

Segment Anything in Medical Images

Python implementation of Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, ICCV 2021

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

OpenMMLab Detection Toolbox and Benchmark

Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

State-of-the-art retinal vessel segmentation with minimalistic models

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

This repository contains the code for the IEEE Robotics and Automation Letters paper "Open-Set Object Detection Using Classification-Free Object Proposal and Instance-Level Contrastive Learning"

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；完册，最后打磨。纠错多的同学，有赠书感谢！

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

用于存放《最优化理论与算法》代码与课件

《利用Python进行数据分析·第2版》

Notes about courses Dive into Deep Learning by Mu Li

Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)