0Gollum

Halfrost-Field

✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

Deep-Learning-with-PyTorch-Chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Machine_Learning_Study_Path

机器学习过程中所看的书，视频和源码

RippleNet

A tensorflow implementation of RippleNet

ML-and-DL

self-learning

datashine

《Python统计与数据分析实战》课程代码，包含了大部分统计与非参数统计和数据分析的模型、算法。回归分析、方差分析、点估计、假设检验、主成分分析、因子分析、聚类分析、判别分析、对数线性模型、分位回归模型以及列联表分析、非参数平滑、非参数密度估计等各种非参数统计方法。

KPRN

Reasoning Over Knowledge Graph Paths for Recommendation

lessr

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

MCGC

Recommendation-Algorithm-KG

基于知识图谱的推荐算法实现

explanation-quality-recsys

Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs

CGL

Consensus Graph Learning for Multi-view Clustering （IEEE TMM 2021）

Advanced-ML-techniques

This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.

Cost-Sensitive-Learning-By-Genetic

A python implementation of a genetic algorithm based approach for cost sensitive learning

genetic-algorithm-based-cost-sensitive-learning

A genetic algorithm based approach for cost sensitive learning, in which the misclassification cost is considered together with the cost of feature extraction.

project-repommend

Network analysis project focused on building a recommendation graph from the given bipartite graph of users and repositories.

ML-based-recommendation-model-for-bipartite-networks

ML based Recommendation model for Bipartite Networks - Machine Learning course project