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2025年全网最全即插即用模块，免费分享！CVPR2025，AAAI2025，ICLR2025，TNNLS2025，arXiv2025......包含人工智能全领域（机器学习、深度学习等），适用于图像分类、目标检测、实例分割、语义分割、全景分割、姿态识别、医学图像分割、视频目标分割、图像抠图、图像编辑、单目标跟踪、多目标跟踪、行人重识别、RGBT、图像去噪、去雨、去雾、去阴影、去模糊、超分辨…
this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。
A curated list of deep learning image classification papers and codes
Pytorch implementation of Performer from the paper "Rethinking Attention with Performers".
Performer architecture for image classification (based on the paper "Rethinking Attention with Performers" by Choromanski et al. 2020)
Official repository for the AAAI2025 paper (Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Cod…
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"
Learning A Sparse Transformer Network for Effective Image Deraining (CVPR 2023)
deep learning for image processing including classification and object-detection etc.
Dataset for the paper D. Uvaydov, S. D’Oro, F. Restuccia and T. Melodia, "DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning," IEEE INFOCOM 2021 - IEEE Conference…
Awesome Knowledge Distillation
Sequence modeling benchmarks and temporal convolutional networks
Implementati 6E55 on of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
Official code Cross-Covariance Image Transformer (XCiT)
Spectrum sensing in cognitive radios leveraging machine learning models
A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…