XuesenYang

Graph-clustering-with-ant-colony-optimization-for-feature-selection

A graph clustering method with ant colony optimization for feature selection

competitive-swarm-optimizer-feature-selection-CSOFS

Implementation of a competitive swarm optimizer (CSO) for feature selction

Feature-rank-feature-selection

A noval feature selection method similar to pagerank method, and ultilized Bayesian optimization to search appropriate parameters

Q-learning-feature-selection

A simple reinforcement learning for feature selection

wrapper-feature-selection-library

Financial-risk-control-fraud-detection

Some common financial risk control models

IsolationForest-feature-ranking

using a single IsolationForest method to rank features

machine_learning

机器学习练习

Curious-feature-selection

Implementation of curious-feature-selection

draw

FNN_with_numpy

Implementation of feedforward neural network based on numpy

FOST

FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.

HSDA

氢燃料电池算法代码

Improved-Decision-Tree-Based-on-Feature-Ranking

An improved decision tree classifier, in which the feature ranking threshold is used to replace Gini coefficient or information gain rate, as a criterion for judging whether a feature can be used as a tree node.

jMetalPy

A framework for single/multi-objective optimization with metaheuristics

LSTM-for-Time-Series-Forecasting-Pytorch

使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)

Machine-Learning-Decision-Tree

Machine Learning Decision Tree

MAD-GANs

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

Multiclassification-FactorizationMachines

A Factorization Machines for Multiple Classification Tasks.

Python-100-Days

Python - 100天从新手到大师

python-exercise

room-sharing-pred-prediction

SPPnet-pytorch

stylegan3

Official PyTorch implementation of StyleGAN3

TensorFLow-Learning

B站上炼数成金的公开课笔记

wavenet-time-series-forecasting

xgbfir

XGBoost Feature Interactions Reshaped

XuesenYang.GitHub.io

yolov3

yolov3-channel-and-layer-pruning

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏