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Config files for my GitHub profile.
Implementations of the classification algorithm "Adaboost" with various weak learners
Awesome paper list with code about generative adversarial nets
Binary version of adaptive Haar Wavelet based Grasshopper Optimization algorithm and Deep Learning Neural Network
Boundary F1 Score - Python Implementation
A tiny Blender add on to convert images into a single voxel mesh object
Visualization of the chaotic behavior of the logistic map, and other iterated maps, in Python, with GUI in Qt5
CGAN ProjectionCGAN ACGAN InfoGAN Pytorch
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
A production of BAGAN model implimented on Federated Learning structure with pytorch.
The project shows implementation based on a variety of applications of convolutional networks. DCGAN structure is used for model construction on GAN to learn deeply with multiple convolutional layers. The accuracy for classification task is about doubled after being supported by GAN-based data augmentation. This quantity is even significantly incre
using GAN for ECG classification
本实验的主要目的是基于遥感图像计算灰度共生矩阵,并基于该矩阵计算多种纹理特征。所有的计算结果已与ENVI结果进行对比,实验结果一致。
Graphs, BFS, DFS, connected components
simple grasshopper optimization algorithm (GOA)
Gray Level Co-occurrence Matrix (GLCM) with python library
In recent years, one of the most difficult problems in computer vision has been automatic human action and activity recognition. It is critical in a variety of artificial intelligence applications, including video surveillance, computer games, robotics, and human-computer interactions. Research into intelligent surveillance has resulted from the gr
通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯
This CNN model detects down-hole problems for oil well using machine learning techniques and dynamometer card data.
This is library of Gray Level Run Length Matrix, method of image processing
Python实现提取图像的纹理、颜色特征,包含快速灰度共现矩阵(GLCM)、LBP特征、颜色矩、颜色直方图。
Tensors and Dynamic neural networks in Python with strong GPU acceleration
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
项目注释+论文复现+算法竞赛+Pytorch实践
深度学习相关综述文章
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.