Pinned Repositories
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
book_python_gis
Source codes in Python for book 'Python in Open Source GIS'.
cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
DBA
DBA: Averaging for Dynamic Time Warping
deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
dtwclust
R Package for Time Series Clustering Along with Optimizations for DTW
dtwSat
Time-Weighted Dynamic Time Warping for satellite image time series analysis
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
497hwq's Repositories
497hwq/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
497hwq/book_python_gis
Source codes in Python for book 'Python in Open Source GIS'.
497hwq/cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
497hwq/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
497hwq/DBA
DBA: Averaging for Dynamic Time Warping
497hwq/deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
497hwq/dtwclust
R Package for Time Series Clustering Along with Optimizations for DTW
497hwq/dtwSat
Time-Weighted Dynamic Time Warping for satellite image time series analysis
497hwq/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
497hwq/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
497hwq/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
497hwq/qusmaml
A collection of machine learning utilities.
497hwq/rdotnet
.NET interop library to call the R statistical language in the same process
497hwq/rdotnet-onboarding
A quick start guide for using R.NET
497hwq/sktime
A unified framework for machine learning with time series
497hwq/Stanford-CS-229-CN
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
497hwq/tslearn
A machine learning toolkit dedicated to time-series data
497hwq/tsml
Java time series machine learning tools in a Weka compatible toolkit