gm-is's repositories
100-plus-Python-programming-exercises-extended
100+ python programming exercise problem discussed ,explained and solved in different ways
Adv360-Pro-ZMK
Production repository for the all-new Advantage360 Professional using ZMK engine
almost-anything-2vec
Curated list of 2vec-type embedding models
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
COVID-19_US_County-level_Summaries
Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
econ-bst
BibTeX style file for economics.
EconometricsWithR
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
gm-is.github.io
flexible demo site
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Learn-Vim
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for.
machine-learning-course
:speech_balloon: Machine Learning Course with Python
MBAcourse
Material from the Big Data course at Chicago Booth
medium-scraper
Simple scraper for posts on medium.com
OutlierConf2021
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
r4ds
R for data science
Template-for-Overleaf
A LaTeX Template for Economics Papers