guolz-ml
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.
Nanjing UniversityChina
Pinned Repositories
Algorithm_Interview_Notes-Chinese
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
awesome
:sunglasses: Curated list of awesome lists
awesome-imbalanced-learning
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
awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Class-Imbalanced-SSL
CWSL
The demo implementation of CWSL method
DS3L
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.
easy_2048-in-200-lines
Implement game 2048 with python
SimCLR-Pytorch
A Pytorch Implementation of SimCLR
Survey-on-Robust-Semi-Supervised-Learning
Survey on Robust Weakly Supervised Learning
guolz-ml's Repositories
guolz-ml/DS3L
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.
guolz-ml/Survey-on-Robust-Semi-Supervised-Learning
Survey on Robust Weakly Supervised Learning
guolz-ml/awesome-imbalanced-learning
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
guolz-ml/Class-Imbalanced-SSL
guolz-ml/SimCLR-Pytorch
A Pytorch Implementation of SimCLR
guolz-ml/awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
guolz-ml/CWSL
The demo implementation of CWSL method
guolz-ml/Dive-into-DL-PyTorch
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。
guolz-ml/JLUNeverMore.github.io
My homepage
guolz-ml/-SafeW
guolz-ml/books
我读过的书。嘿嘿，分享给你。
guolz-ml/FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
guolz-ml/LDAM-DRW
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
guolz-ml/Meta-Weight-Net_Code-Optimization
A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
guolz-ml/WideResNet-pytorch
Wide Residual Networks (WideResNets) in PyTorch
guolz-ml/WSL-Papers
Weakly Supervised Learning Related Papers
guolz-ml/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
guolz-ml/Awesome-LongTailed-Recognition
guolz-ml/DARP
Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)
guolz-ml/guolz-ml.github.io
guolz-ml/meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
guolz-ml/Paper-Notes
Good sentences, useful sentences
guolz-ml/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
guolz-ml/realistic-ssl-evaluation-pytorch
Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
guolz-ml/resume-1
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
guolz-ml/SciencePlots
Matplotlib styles for scientific plotting
guolz-ml/semi-sup
code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.
guolz-ml/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
guolz-ml/tabnet
PyTorch implementation of TabNet paper
guolz-ml/wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch