hzcirving,Zichen,github

machinelearning

Basic Machine Learning and Deep Learning

machinelearning_basicalgorithm

保存个人机器学习代码，包含：决策树、KNN、SVM、神经网络、简单线性回归、多元线性回归、Kmeans、层次聚类。对应文档：http://blog.csdn.net/YEN_CSDN/article/category/6725711

marl

Implementation for mSAC methods in PyTorch

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mathmodel

研究生数学建模，数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mnist-svhn-transfer

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

mpc-and-mhe-implementation-in-matlab-using-casadi

This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/

multi-scale-1d-resnet

pytorch code of multi scale 1d resnet, we hope it will help your research

naive-bayes

First assignment for Data Mining. Implement Naive Bayes, preprocess data using entropy-based discretization, and validate with 10-fold cross validation.