hugh-zpf

Pinned Repositories

calculator
C++ operator precedence parser
Language:C++00
CS-Notes
:calendar: 准备秋招学习笔记
00
dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Language:Jupyter Notebook00
DAGMM-1
DAGMM Tensorflow implementation
Language:Jupyter Notebook00
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Language:TeX00
glog
C++ implementation of the Google logging module
Language:C++00
machine-learning-yearning
Translation of <Machine Learning Yearning> by Andrew NG
00
ml
代码记录
Language:Jupyter Notebook00
models
Models and examples built with TensorFlow
Language:Python00
nocode
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
Language:Dockerfile00

hugh-zpf's Repositories

hugh-zpf/setup-ipsec-vpn
Scripts to build your own IPsec VPN server, with IPsec/L2TP, Cisco IPsec and IKEv2
hugh-zpf/tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
hugh-zpf/dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
hugh-zpf/DAGMM-1
DAGMM Tensorflow implementation
hugh-zpf/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Language:TeX
hugh-zpf/nocode
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
Language:Dockerfile
hugh-zpf/glog
C++ implementation of the Google logging module
Language:C++
hugh-zpf/calculator
C++ operator precedence parser
Language:C++
hugh-zpf/CS-Notes
:calendar: 准备秋招学习笔记
hugh-zpf/models
Models and examples built with TensorFlow
Language:Python
hugh-zpf/machine-learning-yearning
Translation of <Machine Learning Yearning> by Andrew NG
hugh-zpf/Wine-QQ-TIM
提供在Linux上运行最新版腾讯QQ与TIM的解决方案 Easiest Way to Run QQ&TIM on Linux
Language:ASP
hugh-zpf/ml
代码记录
Language:Jupyter Notebook