1liujin Goto Github PK

1liujin

Config files for my GitHub profile.

adaboost

Implementations of the classification algorithm "Adaboost" with various weak learners

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

ahw-bgoa-dnn

Binary version of adaptive Haar Wavelet based Grasshopper Optimization algorithm and Deep Learning Neural Network

bfscore_python

Boundary F1 Score - Python Implementation

blender-image-voxel

A tiny Blender add on to convert images into a single voxel mesh object

chaosplotter

Visualization of the chaotic behavior of the logistic map, and other iterated maps, in Python, with GUI in Qt5

conditional-gans-pytorch

CGAN ProjectionCGAN ACGAN InfoGAN Pytorch

data-science-competition

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

fedbagan

A production of BAGAN model implimented on Federated Learning structure with pytorch.

gan-dataaugmentation

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

gan_one-class-anomaly-detection

using GAN for ECG classification

glcm

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

Graphs, BFS, DFS, connected components

grasshopper-optimization-algorithm

simple grasshopper optimization algorithm (GOA)

gray-level-cooccurrence-matrix

Gray Level Co-occurrence Matrix (GLCM) with python library

human-action-classification-with-still-images-using-cnn

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

machine_learning_python

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

ml

oil-well-diagnostic-by-machine-learning

This CNN model detects down-hole problems for oil well using machine learning techniques and dynamometer card data.

python-glrlm

This is library of Gray Level Run Length Matrix, method of image processing

python-image-feature-extraction

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。

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-camp

pytorch-gans

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-learning

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorchnethub

项目注释+论文复现+算法竞赛+Pytorch实践

relateddeeplearningreview

深度学习相关综述文章

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"