竹林草屋's repositories
powerful-gnns
How Powerful are Graph Neural Networks?
the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix
CyberBattleSim
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
keras-attention-mechanism
Attention mechanism Implementation for Keras.
planetoid
Semi-supervised learning with graph embeddings
Hua-Zhou.github.io
Hua Zhou's personal webpage
shadowsocksr
Python port of ShadowsocksR
textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
electron-ssr-backup
electron-ssr原作者删除了这个伟大的项目，故备份了下来，不继续开发,且用且珍惜
julia
The Julia Language: A fresh approach to technical computing.
DynamicalSystems.jl
A Julia package for the exploration of chaos in continuous and discrete dynamical systems.
DMwR
:exclamation: This is a read-only mirror of the CRAN R package repository. DMwR — Functions and data for "Data Mining with R"
DMwR2
Functions and data supporting the 2nd edition of the book Data Mining with R by Luis Torgo, published by CRC Press
shiny
Easy interactive web applications with R
FGN
:exclamation: This is a read-only mirror of the CRAN R package repository. FGN — Fractional Gaussian Noise and power law decay time series model<U+000a>fitting. Homepage: http://www.stats.uwo.ca/faculty/aim