Create your own GitHub profile
Sign up for your own profile on GitHub, the best place to host code, manage projects, and build software alongside 36 million developers.
Sign up
Popular repositories
-
you-get
Forked from soimort/you-get
⏬ Dumb downloader that scrapes the webPython 1
-
incubator-druid
Forked from apache/incubator-druid
Apache Druid (Incubating) - Column oriented distributed data store ideal for powering interactive applications
Java 1
-
python-utils
Forked from kylemcdonald/python-utils
Disorganized collection of useful functions for working with audio and images, especially in the context of machine learning.
Python 1
-
text-detection-ctpn
Forked from eragonruan/text-detection-ctpn
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Python 1
-
models
Forked from Sarasra/models
Models and examples built with TensorFlow
Python
-
sipp
Forked from SIPp/sipp
The SIPp testing tool
C++
355 contributions in the last year
Contribution activity
May 2019
April 2019
- 2.15.3 PCA算法推理 内容修正
- 2.15.3 PCA算法推理 内容修订
- 2.15.2 图解PCA核心思想 内容修订
- 2.14.6 LDA优缺点? 内容修订
- 2.14.6 LDA优缺点? 内容修订
- 2.16.16 直观理解AUC 内容修订
- 2.16.14 如何计算AUC? 内容修订
- 2.16.13 如何计算TPR,FPR? 内容修订
- 2.14.3 二类LDA算法原理 内容修订
- 2.14.3 二类LDA算法原理? 内容修订
- 2.12.6 随机梯度和批量梯度区别? 内容修订
- 2.16.5 如何解决过拟合与欠拟合 内容修订
- 2.16.19 为什么使用标准差 内容修订
- 2.15.6 降维的必要性及目的 内容修订
- 2.14.1 LDA思想总结 内容修订
- 2.16 代价敏感错误率与代价曲线 内容修订
- 2.16 index 修正
- 2.16.16 直观理解AUC 内容修订
- 2.16.13 如何计算TPR,FPR? 内容修订
- 2.16.13 如何计算TPR,FPR 内容修订
- 2.16.1 模型评估常用方法? 内容修订
- 2.13 计算图的导数计算? 内容修订
- 2.17.6 信息增益的理解 内容修订
- 2.17.5 熵的概念以及理解 内容修订
- 2.17.1/2 决策树 内容修订
- Some pull requests not shown.