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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
An elegant PyTorch deep reinforcement learning library.
基于python的网页自动化工具。既能控制浏览器，也能收发数据包。可兼顾浏览器自动化的便利性和requests的高效率。功能强大，内置无数人性化设计和便捷功能。语法简洁而优雅，代码量少。
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Human Keypoint Detection Challenge Winner) & (COCO 2019 Best Paper Award)
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
chiarose(XCR) based on chia(XCH) source code fork, open source public chain
Audio steganalysis with tensorflow.
缠中说禅-缠论技术分析 实时自动笔段画线、中枢标识 递归分析整体走势 作为买卖分析参考
中文排序：按拼音/笔顺快速排序简体中文词组（百万数量级，可含中英/多音字）。如果对您有所帮助，欢迎点个star鼓励一下。
[AAAI 2021] Sequential End-to-end Network for Efficient Person Search
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
使用ssd+mobilenetv2轻量化网络实现的智能小车垃圾分类（jetson nano下能达到10fps+）
PyTorch implementation of CVPR 2017 "Joint Detection and Identification Feature Learning for Person Search"
Code for paper: Memory Augment is All Your Need for image restoration(cloud,rain,shadow removal, low-light image enhancement, image deblur)即插即用提点的记忆模块
[IEEE TGRS 2020] Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.
The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method
[IEEE TCYB 2021] Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network