Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

OpenMMLab Detection Toolbox and Benchmark

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

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

code of MICCAI 2020 paper "NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification"

A deformable-Unet architecture for retinal vessel segmentation

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

Tensor Low-rank Reconstruction for Semantic Segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The official Pytorch implementation of OCNet, OCRNet, and SegFix.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

[CVPR2020] GhostNet: More Features from Cheap Operations

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

A script to download the ISIC Archive of lesion images

多标签多分类的textCNN

CVPR 2024 论文和开源项目合集

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！