ssxjss's repositories
ML_Practice
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
book-ml-sem
《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
causalTree
Working repository for Causal Tree and extensions
Dependency_SentimentAnalysis
基于依存句法的句子级细粒度情感计算
EmotionAnalysis
针对手机评论数据的情感挖掘与分析项目，基于依存句法分析和情感词库提取特征词，并对特征词做情感极性预测标注。
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
lihang-code
《统计学习方法》的代码实现
LTP_Python_Interface
根据自己搭的 LTP 服务器，实现：分词、词性标注、命名实体识别、依存句法分析、语义角色标、命名实体的抽取：人名，地名，机构名、三元组的抽取：主谓宾，动宾关系，介宾关系，（实体1，关系，实体2）
Machine_Learning_Materials_to_Follow
Machine Learning Materials
mlimpl
This Repository gathered some code which encapsulates commonly used methods in the field of machine learning. Most of them are based on Numpy and Pandas.U can deepen the understanding of related algorithm by referring to this repository.
mlinsights
Extends scikit-learn with new models, transformers, metrics, plotting.
Opinion-Mining-on-Hotel-Reviews
This project has the objective of recognizing and extracting features / aspects from reviews using Natural Language Processing and Data Mining concepts.
Opinion-Mining-Project
Feature-Based Sentiment Analysis in Python
OpinionMining-of-DigitalProductReviews
This is an assignment project of AI Principle Course 2016 in Tsinghua University. We conduct a rule-based methed on the dataset of digital product reviews to extract the opinions of these reviews.
PyVisualization
python数据可视化
Some-Data-Mining
A set of data mining related aspects including collaborative filtering, classification using decision trees, association rule mining using apriori. Work is entirely in python, numPy, sciPy.
StatQuest
StatQuest with Josh Starmer
Survival_Analysis
Survival Analysis with non-parametric, semi-parametric, and parametric models
triple_extraction
依存句法关系之三元组提取方法示例