Pinned Repositories
Adversarial-Examples-Reading-List
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
ALSM
R package for Kutner et al. 5th ed. Applied Linear Statistical Models
an-example-running-docker-container-in-sublime-text
Run docker container in sublime text
awesome-causality-data
A data index for learning causality.
baposter
a few Poster templates with LaTeX
bene
An exact Bayesian network structure learning software based on dynamic programming.
birthday
:cake:改改数据,为心爱的人做一个超具创意的网页生日祝福吧~ (生日快乐) https://ajlovechina.github.io/birthday/
CoEmbeddings
machine learing; visualising heterougeneous relationships by representing them as edges between points in an euclidean space
LEDF_release
Computation of Heterogeneous Object Co-embeddings from Relational Measurements
tranpes
proposed algorithm for knowledge base embedding
while519's Repositories
while519/Adversarial-Examples-Reading-List
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
while519/an-example-running-docker-container-in-sublime-text
Run docker container in sublime text
while519/awesome-causality-data
A data index for learning causality.
while519/birthday
:cake:改改数据,为心爱的人做一个超具创意的网页生日祝福吧~ (生日快乐) https://ajlovechina.github.io/birthday/
while519/blog
while519/causal-cmd
while519/causal-compare
A command-line interface (CLI) for running algorithm comparison tool on simulated data.
while519/Causal-Discovery-from-Nonstationary-Heterogeneous-Data
Causal Discovery from Nonstationary/Heterogeneous Data.
while519/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
while519/causality
Examine The Causal Structure of Data
while519/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
while519/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
while519/GNNPapers
Must-read papers on graph neural networks (GNN)
while519/gridstudio
Grid studio is a web-based spreadsheet application with full integration of the Python programming language.
while519/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
while519/numpy
Numpy main repository
while519/numpy-ml
Machine learning, in numpy
while519/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
while519/pgmpy
Python Library for Probabilistic Graphical Models
while519/PRML
PRML algorithms implemented in Python
while519/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
while519/Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
while519/r-causal
R Wrapper for Tetrad Library
while519/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
while519/sublime-project-config
while519/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
while519/tetrad
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
while519/tidytuesday
Official repo for the #tidytuesday project
while519/tushare
TuShare is a utility for crawling historical data of China stocks
while519/wdrive
my drive for storage