xiaoqianliu1 Goto Github PK

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

cgirl

cma-es

Covariance Matrix Adaptation Evolution Strategy (CMA-ES)

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cvi_using_dsi

Cluster Validity Index Using a Distance-based Separability Measure

deepwalk

DeepWalk - Deep Learning for Graphs

demo1

evolutionary-optimization-algorithms

DE, CMA-ES, MA-ES, LM-MAES Python Implementation

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

gwosvr

Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)

isss_fcm

moead

MOEAD.多目标差分进化算法的学习，Python实现&动态展示过程&b站讲解

online-svr

Implementation of Accurate Online Support Vector Regression in Python.

opt-alg-tutorials

optimization-algorithms

Optimization methods

platypus

A Free and Open Source Python Library for Multiobjective Optimization

sdne-based-on-pytorch

The SDNE (Structural Deep Network Embedding) based on Pytorch

seal

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

sklearn-genetic-opt

Hyperparameters tuning and feature selection, using evolutionary algorithms.

test2

xiaoqianliu1.github.io