haozhi's starred repositories
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
2017-SRisk
My 2017 implementation of the SRisk model created by Robert Engle and Christian Brownlees
USTC-2021Spring-Introduction_to_Deep_Learning
USTC 2021春季学期 深度学习导论实验:FNN,CNN,RNN,LSTM,BERT,GCN
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策
temporal-gcn-lstm
Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat
machine_learning_model
机器学习基本模型算法介绍(附加案例)
Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
graph-data-science-client
A Python client for the Neo4j Graph Data Science (GDS) library
feature-selection-for-machine-learning
Code repository for the online course Feature Selection for Machine Learning
Multivariate-time-series-models-in-Keras
This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.
stockPredictionUsingLSTM
This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
CoVaR-Conditional-VaR-Project
Replication and extension of paper on Conditional Value at Risk (CoVaR) by Adrian and Brunnermeier.
kmeans_smote
Oversampling for imbalanced learning based on k-means and SMOTE
Machine-Learning
LR / SVM / XGBoost / RandomForest etc.
QPSO_python
QPSO algorithm for multi-parameters optimization