Stars
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
利用预训练的中文模型实现基于bert的语义匹配模型 数据集为LCQMC官方数据
基于Pytorch的，中文语义相似度匹配模型（ABCNN、Albert、Bert、BIMPM、DecomposableAttention、DistilBert、ESIM、RE2、Roberta、SiaGRU、XlNet）
implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
今日头条中文新闻（文本）分类数据集
Natural Language Processing Tutorial for Deep Learning Researchers
turn natural language into structured data(支持中文，自定义了N种模型，支持不同的场景和任务)
Simple GUI program for inspecting and analyzing hyperspectral image cubes that have been saved in ENVI format.
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
This is a demo program for Box-plot figure or statistical separability analysis figure, which can be used for hyperspectral target detection, anomaly detetion or change detection and so on.
Hyperspectral Anomaly Detection
FCN_based Classification Framework for Hyperspectral Image
paper：DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification；Spatial-Spectral Hyperspectral Classification based on Learnable 3D G…
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
[TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'
Hyperspectral image classification Dual-scale ECA-based dense network
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
[TGRS 2023] Official implementation for 'Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification'
Multi-scale Neighborhood Attention Transformer with Optimized Spatial Pattern for Hyperspectral Image Classification.
A cross-channel dense connection and multi-scale dual aggregated attention network for Hyperspectral image classification