gm-is's repositories

100-plus-Python-programming-exercises-extended

100+ python programming exercise problem discussed ,explained and solved in different ways

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Adv360-Pro-ZMK

Production repository for the all-new Advantage360 Professional using ZMK engine

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adversarial_gmm

Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis

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almost-anything-2vec

Curated list of 2vec-type embedding models

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approachingalmost

Approaching (Almost) Any Machine Learning Problem

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awesome-causality-algorithms

An index of algorithms for learning causality with data

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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COVID-19_US_County-level_Summaries

Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread

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d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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EconometricsWithR

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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gm-is.github.io

flexible demo site

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introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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Learn-Vim

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for.

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machine-learning-course

:speech_balloon: Machine Learning Course with Python

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MBAcourse

Material from the Big Data course at Chicago Booth

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medium-scraper

Simple scraper for posts on medium.com

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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.

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r4ds

R for data science

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Template-for-Overleaf

A LaTeX Template for Economics Papers

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