NonoKing / SEU_Monash_2017-2018Links
Helpful and available for students of SEU-Monash in Suzhou
☆77Updated 7 years ago
Alternatives and similar repositories for SEU_Monash_2017-2018
Users that are interested in SEU_Monash_2017-2018 are comparing it to the libraries listed below
Sorting:
- A systematic course about web science for graduate students☆40Updated 4 years ago
- 东南大学论文模板☆109Updated 7 years ago
- 东南大学硕士研究生学位论文LaTeX模板☆205Updated last year
- 东南大学 硕士毕业论文 Latex 模版 网络空间安全学院☆214Updated last year
- 东南大学毕业论文latex模板☆156Updated last year
- 2021华为软件精英挑战赛 程序输出分析器☆53Updated 4 years ago
- 华东师范大学研究生毕业论文 Latex 模板☆100Updated 3 years ago
- The assignment code for Coursera by Ng's ML course☆65Updated 3 years ago
- Resources of CQU CS 1701 research, include NLP, Knowledge Graph,Cloud Computing, etc.☆137Updated 4 years ago
- The Microsoft Office Word template of BUPT Thesis for Master Degree.☆222Updated last year
- ☆98Updated 5 years ago
- TensorFlow1.x版本教程(入门教程)☆84Updated 5 years ago
- Extension for Google Chrome to show conference/journal rankings in search results. Currently supports CCF(China Computer Federation) rank…☆239Updated 2 years ago
- about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Met…☆229Updated 5 years ago
- 搜集成都的IT研发,供参考☆404Updated 2 years ago
- ☆200Updated 5 years ago
- notes of machine learning algorithm derivation☆785Updated 6 years ago
- 微专业: 吴恩达 深度学习工程师 作业☆206Updated 7 years ago
- NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业☆877Updated 6 years ago
- 《统计学习方法》的代码实现☆111Updated 5 years ago
- LaTeX Thesis Template for Southeast University☆128Updated 4 years ago
- Apriori and fp-growth implement of python☆264Updated 5 years ago
- ☆211Updated 5 years ago
- 吴恩达机器学习公开课作业中文版本以及Python实现☆82Updated 6 years ago
- 软微新生入学常见问题☆94Updated 5 years ago
- 主要存储Datawhale组队学习中“自然语言处理”方向的资料。☆925Updated 4 years ago
- Java炼金小木屋☆504Updated 2 years ago
- 用于排版东南大 学硕博学位论文的LaTeX模板☆74Updated 11 months ago
- 图神经网络相关算法详述及实现☆895Updated 4 years ago
- 通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯☆732Updated 5 years ago