Name: Guolz
Type: User
Company: Nanjing University
Bio: I am a Ph.D. student in LAMDA Group, Nanjing University. I am interested in machine learning and deep learning, especially on weakly-supervised learning.
Location: China
Blog: www.lamda.nju.edu.cn/guolz
Guolz's Projects
自己的vim配置
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
:sunglasses: Curated list of awesome lists
一些不错的中文podcasts
A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习:论文、代码、框架与库
A curated list of resources for Learning with Noisy Labels
A curated list of network embedding techniques.
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Papers projects about Bilevel Optimization and Machine Learning
我读过的书。嘿嘿,分享给你。
The demo implementation of CWSL method
Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)
Deep SSL
kaggle
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。
Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
Dotfiles of PytLab
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.
Implement game 2048 with python
Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)