Ling Liu's starred repositories
Introduction-to-Data-Science
本Repository为**人民大学朝乐门老师开源课程——《数据科学导论》
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
qiqqa-open-source
The open-sourced version of the award-winning Qiqqa research management tool for Windows
LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
DGNN-PyTorch
Unofficial PyTorch implementation of the CVPR'19 paper "Skeleton-Based Action Recognition with Directed Graph Neural Networks".
material-theme-jetbrains
JetBrains theme of Material Theme
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Color-Names
An improved version of the color name model described here: http://lewisandquark.tumblr.com/post/160776374467/new-paint-colors-invented-by-neural-network.
jupyter2slides
Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
odsc-west-python-2017
Introduction to Python for Data Science
stat-cookbook
:orange_book: The probability and statistics cookbook