Pinned Repositories
ATDA
Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
CNN-Visualization
CNN可视化、理解CNN
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
exercise_python_summer_school
Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
introRL
Intro to Reinforcement Learning (强化学习纲要）
jupyter-themes
Custom Jupyter Notebook Themes
learnGitBranching
An interactive git visualization to challenge and educate!
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
xmhGit's Repositories
xmhGit/CNN-Visualization
CNN可视化、理解CNN
xmhGit/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
xmhGit/exercise_python_summer_school
xmhGit/jupyter-themes
Custom Jupyter Notebook Themes
xmhGit/ATDA
Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
xmhGit/Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
xmhGit/introRL
Intro to Reinforcement Learning (强化学习纲要）
xmhGit/learnGitBranching
An interactive git visualization to challenge and educate!
xmhGit/machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
xmhGit/ml-surveys
📋 Survey papers summarizing advances in machine learning.
xmhGit/mmcv
OpenMMLab Computer Vision Foundation
xmhGit/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
xmhGit/SeReMpy
Seismic Reservoir Modeling Python package
xmhGit/Study-Floder
相当不错的图书，例如《数学之美》、《浪潮之巅》、《TCP/IP卷一/卷二/卷三》等；一些大的上传受限制的文件《图解TCP_IP_第5版》、《深入理解Java虚拟机JVM》、《effective java》等在README
xmhGit/Tri-training
The python implementation of tri-triaing
xmhGit/Tri-Training-1
xmhGit/TriTraining
Tri Training, Tri Training with Disagreement
xmhGit/xmhGit.github.io