Ireneruru's Stars
github/gitignore
A collection of useful .gitignore templates
sorrycc/awesome-javascript
🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things.
ycm-core/YouCompleteMe
A code-completion engine for Vim
Olshansk/interview
Everything you need to prepare for your technical interview
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
dbt-labs/dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
tobymao/sqlglot
Python SQL Parser and Transpiler
rstudio/cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
ibis-project/ibis
the portable Python dataframe library
mgp/book-notes
Notes from books and other interesting things that I've read. Table of contents at the end 👇
jbhuang0604/awesome-tips
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
mackyle/sqlite
Unofficial git mirror of SQLite sources (see link for build instructions)
JetBrains/idea-gitignore
.ignore support plugin for IntelliJ IDEA
substrait-io/substrait
A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
StanfordVL/taskonomy
Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]
MadryLab/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
facebookresearch/ImageNet-Adversarial-Training
ImageNet classifier with state-of-the-art adversarial robustness
greenplum-db/gporca
A modular query optimizer for big data
gidariss/FeatureLearningRotNet
jupyter-xeus/xeus-sql
Jupyter kernel for SQL databases
MIT-DB-Class/simple-db-hw
fdalvi/NeuroX-demo
tianye95/interpretable-intuitive-physics-model
Code for ECCV2018 paper: "Interpretable Intuitive Physics Model"
ccchengff/SketchML
Accelerating Distributed Machine Learning with Data Sketches
teamclairvoyant/panoramix
Panoramix is a data exploration platform designed to be visual, intuitive and interactive
tsellam/PRML-Education
Educational implementation of Chris Bishop's Pattern Recognition and Machine Learning
sirrice/wuutils
Some python utilities I like to have around