为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Ultralytics YOLO11 🚀

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）

🔥 💪 Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

Deep Learning Model for Crack Detection and Segmentation

[ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.

[TPAMI 2023] Official implementation of Introspective Deep Metric Learning.

Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning [CVPR'22]

Mamba meets crack segmentation

About PyTorch implementation for ‘’Robust Multi-View Clustering with Noisy Correspondence‘’ (TKDE 2024)

A lightweight model segmentation software based on RHACrackNet

Implementation of "Non-Graph Data Clustering via O(n) Bipartite Graph Convolution," IEEE Transactions on Pattern Analysis and Machine Intelligence.

Towards Balance Deep Semi-supervised Clustering