xiaokunx's Stars
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Netflix/sherlock
R package for causal machine learning for segment discovery and analysis
mingrammer/diagrams
:art: Diagram as Code for prototyping cloud system architectures
jupyterlab/jupyterlab-git
A Git extension for JupyterLab
lapfelix/BluetoothConnector
Simple macOS CLI to connect/disconnect a Bluetooth device. Useful for AirPods or other Bluetooth headphones.
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
rstudio/DT
R Interface to the jQuery Plug-in DataTables
Tutuchan/shinyflags
Add country flags to your Shiny applications
jienagu/DT-Editor
This is a DT Editor Shiny app
philipperemy/keract
Layers Outputs and Gradients in Keras. Made easy.
alexjc/neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
ziishaned/learn-regex
Learn regex the easy way
ytdl-org/youtube-dl
Command-line program to download videos from YouTube.com and other video sites
eczarny/spectacle
Spectacle allows you to organize your windows without using a mouse.
laurencium/Causalinference
Causal Inference in Python
ricardo-bion/ggtech
ggplot2 tech themes, scales, and geoms
Quartz/bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
andosa/treeinterpreter