ujkuo's Stars
J-HowHuang/ntu-gpa-calculator-extension
s4n7h0/hugo-theme-timeline
Simple timeline theme for hugo
uPagge/uBlogger
A template designed with your readers in mind :heart:
elliottash/text_econ_2022
Materials for PhD course on text data in economics
dasvision0212/3D-Bin-Packing-Problem-with-BRKGA
An implementation ofr Biased Random Key Genetic Algorithmn for 3D Bin Packing Problem.
tlyu0419/facebook_crawler
nanotee/nvim-lua-guide
A guide to using Lua in Neovim
arasgungore/arasgungore-CV
My curriculum vitae (CV) written using LaTeX.
byukan/Marketing-Data-Science
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
open-guides/og-aws
📙 Amazon Web Services — a practical guide
rebuild-123/Python-Head-First-Design-Patterns
Python for Head First Design Patterns book (2020)
mathurinm/celer
Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
Coleridge-Initiative/pre-doc-record-linkage
sb2nov/resume
Software developer resume in Latex
jdebacker/CompEcon_Fall17
ECON 815: Computational Methods for Economists
antontarasenko/awesome-economics
A curated collection of links for economists
QuantEcon/QuantEcon.py
A community based Python library for quantitative economics
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
cvxgrp/cvx_short_course
Materials for a short course on convex optimization.
networkx/nx-guides
Examples and Jupyter Notebooks about NetworkX
karoliskoncevicius/vim-sendtowindow
Small vim plugin implementing a send-to-window operator.
Ptt-Alertor/ptt-alertor
:loudspeaker: Ptt 文章通知機器人!Notify Ptt Article in Realtime
executablebooks/markdown-it-py
Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed. Now in Python!
3b1b/manim
Animation engine for explanatory math videos
trendecon/trendecon
Create Long Daily Series from Google Trends
le0x99/DailyTrends
Python package to get the full time series for any search query with daily frequency.
epfl-dlab/GoogleTrendsAnchorBank
Google Trends, made easy.
GeneralMills/pytrends
Pseudo API for Google Trends
r05323028/eyes
Public Opinion Mining System of Taiwanese Forums