regularization topic
ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
GAN-Tutorial
Simple Implementation of many GAN models with PyTorch.
cutmix
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
py-glm
Generalized Linear Models in Sklearn Style
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
shake-shake
2.86% and 15.85% on CIFAR-10 and CIFAR-100
early-stopping-pytorch
Early stopping for PyTorch
DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现