▍1. voxelmorph-master
说明： 图像配准voxelmorph的相关代码，以及使用说明(image registration Relevant codes and instructions for use)
更多选项
▍2. NSL-KDD(1)
说明： NSL-KDD数据集，并且包含数据集的预处理，训练部分程序，测试部分程序，全部调通，并且实现不错的实验效果(Nsl-kdd data preprocessing and implementation, including the whole process of open data set in the research field, data preprocessing and classification experiment, and achieve better detection accuracy)
▍3. multiagent
Pacman Question 练习用吃豆人题目(Pacman Question for practice)
▍6. ga_aco_opt_on_anfis_svm-master
利用遗传算法、蚁群算法、PSO等对SVM模型进行优化，实现高效分类和回归预测(The SVM model is optimized by genetic algorithm, ant colony algorithm and PSO to achieve efficient classification and regression prediction.)
▍7. ga_aco_opt_on_anfis_svm-master
说明： 利用遗传算法、蚁群算法、PSO等对SVM模型进行优化，实现高效分类和回归预测(The SVM model is optimized by genetic algorithm, ant colony algorithm and PSO to achieve efficient classification and regression prediction.)
▍8. LSTM-IMDB
说明： 迭代算法的收敛率p是等于矩阵导数的最大特征根,Jacobi矩阵表示的是信息缺失的比例,所以p是一个可以有效的表示缺失信息的一个比例的标量,缺失信息的比例其实就是单位矩阵I 减去已经观测到的信息占完全信息的比例(The convergence rate P of the iterative algorithm is equal to the maximum characteristic root of the matrix derivative. Jacobi matrix represents the proportion of missing information, so P is a scalar that can effectively represent a proportion of missing information. The proportion of missing information is actually the proportion of the unit matrix I minus the observed information to the complete information.)
▍10. heart-rate-estimation-master
通过使用opencv、scipy和python检测运动人前额信号的微小rgb变化，实现用视频估计心率。(Implemented estimating heart rate using video by detecting the minute RGB changes in signals from the forehead of a moving person using OpenCV, Scipy and Python)
▍11. heart-rate-estimation-master
说明： 通过使用opencv、scipy和python检测运动人前额信号的微小rgb变化，实现用视频估计心率。(Implemented estimating heart rate using video by detecting the minute RGB changes in signals from the forehead of a moving person using OpenCV, Scipy and Python)
▍12. cs-2017-11-16
说明： 方自虎老师的abaqus钢筋模型，进供学术交流(Teacher Fang Zihu's ABAQUS reinforcing bar model for academic exchange)
▍13. bayesian-matting-master
本文将以图像抠图领域的经典算法——贝叶斯抠图（Bayesian Matting）为例来介绍有关图像抠图技术的一些内容。贝叶斯抠图源自文献【2】，是2001年发表在CVPR上的一篇经典论文。(the image matting using classic bayesian approach)
▍14. CNN_HSIC-master
CNN高光谱图像分类，包含1D，2D,3D(CNN hyperspectral image classification)
▍15. DevilYuan-master
说明： DevilYuan股票量化系统由python编写,支持python3.4及以上版本,有如下功能: 可视化(基于PyQT的界面) 多线程事件引擎 四大功能 股票数据 选股 策略回测(同时也支持向(Devilyuan stock quantification system is written by python, and supports Python 3.4 and above. It has the following functions: visualization (pyqt based interface) multi thread event engine, four major functions: stock data stock selection strategy back testing (also support to)
▍16. DeepCrack
说明： 裂纹是典型的线结构，在许多计算机视觉应用中都很有趣。在实际应用中，路面裂缝等许多裂缝连续性差、对比度低，给利用低层特征进行基于图像的裂缝检测带来了很大的挑战。在本文中，我们提出了深度裂纹——一个端到端可训练的深度卷积神经网络，通过学习用于裂纹表示的高级特征来自动检测裂纹。该方法将在层次卷积阶段学习到的多尺度深度卷积特征融合在一起，以获取线路结构。更详细的表示在大比例尺的feature maps中进行，更全面的表示在小比例尺的feature maps中进行。我们在SegNet的编码器解码器架构上构建深度裂纹网，并对在相同尺度下在编码器网络和解码器网络中生成的卷积特征进行配对融合。(Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor continuity and low contrast, which bring great challenges to image-based crack detection by using low-level features. In this paper, we propose DeepCrack---an end-to-end trainable deep convolutional neural network for automatic crack detection by learning high-level features for crack representation. In this method, multi-scale deep convolutional features learned at hierarchical convolutional stages are fused together to capture the line structures. More detailed representations are made in larger scale feature maps and more holistic representations are made in smaller scale feature maps. We build DeepCrack net on the encoder decoder architecture of SegNet and pairwisely fuse the convolutional features generated in the encoder network and in the decoder network at the same scale.)
▍17. back_test
说明： 基于python编写，对于股票的多因子策略进行历史回测。(The backtest code for the multi-factor stock investment strategy)
▍18. CRACK_3D_1.3.16
基于ABAQUS的Python二次开发，用于实现复合材料结构腐蚀疲劳裂纹扩展的建模防撞.(based on Abaqus and python secondary development, fulfil composite structures corrosion fatigue crack grow modeling simulation.)
▍19. OUROMAv2.3_CL.py
说明： ABAQUS 脚本生成节点信息，计算J积分(J-Integral calculation using ABAQUS)
▍20. Evaluate_J.py
说明： 含界面的CT试件的J积分计算。计算了（Simha，N.K.等人2005）的结果。主要是提取界面上的材料力，对J积分进行修正以保持路径无关性。(J integral for compact tension specimen with interface. The results of (Simha, N.K. et al 2005) are reproduced. Mainly, the material force in the interface is extracted and the J-integral is corrected to retain path independence.)
本站资源：696524 个
本站会员：103886 个
总计下载：488002 次
今日上传：0 个
- 优秀论文及配套源码 SVM Short-term-Load-Forecasting
- 综合能源优化含储能
- 用遗传算法改进粒子群GA-PSO算法
- 通过粒子群能够很好的解决优化问题 pso
- 天牛群算法 BSO
- 混沌粒子群优化算法
- 2019年中国研究生数学建模竞赛E题
- 智能算法的Matlab仿真程序及教程
- 《MATLAB R2016a神经网络设计与应用28个案例分析》随书代码
- BAS BP论文及代码
- denoising
- Airy 基模高斯光束
- EMS Microgrid
- 2012年全国大学生数学建模竞赛题目--葡萄酒的评价Wines-Evaluation
- GA-bp
- 本人调试的大作业 源程序模型+论文 intelligent_control_modle
- LSTM的例子、单向LSTM、双向LSTM、多层LSTM
- 遗传算法优化BP网络案例
- 通过yalmip平台调用cplex求解器 microgrid Cplex
- 基于lstm算法在MATLAB对短期风速进行预测 LSTM-regression-master
