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Name: Sungho Lee
Type: User
Company: innodlab
Name: Sungho Lee
Type: User
Company: innodlab
Hackable open-source version of Anthropic's Claude Artifacts
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
A Python implementation of global optimization with gaussian processes.
Code and examples from Business Data Science
Code and data examples included in the book "Marketing Data Science" by Thomas W. Miller.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
An R package for causal inference in time series
A Python library that helps data scientists to infer causation rather than observing correlation.
Tools for Choice Modeling, Conjoint Analysis, and MaxDiff analysis of Best-Worst Surveys
Data and analysis for 'Machine Bias'
Dara is a dynamic application framework designed for creating interactive web apps with ease, all in pure Python.
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
What if GPT could help you notebook?
"파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드
Framework for developping microsimulation models
Lime: Explaining the predictions of any machine learning classifier
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
R package for Multi-Armed Bandit Simulation Study
:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
population and household microsimulation models
Learn different techniques for mitigating fairness-related harms using Fairlearn.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.