Shuqing Chen's starred repositories
pytorch_GAN_zoo
A mix of GAN implementations including progressive growing
USTC-Course
:heart:**科学技术大学课程资源
SJTU-Courses
上海交通大学课程资料分享
zju-icicles
浙江大学课程攻略共享计划
academic-drawing
Providing codes (including Matlab and Python) for visualizing numerical experiment results.
Class-Imbalance
Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
awesome-capsule-networks
A curated list of awesome resources related to capsule networks
pumpkin-book
《机器学习》（西瓜书）公式详解
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
imbalanced-algorithms
Python-based implementations of algorithms for learning on imbalanced data.
SynSeg-Net
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
deep_architecture_genealogy
Deep Learning Architecture Genealogy Project
ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.