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XGBoost + Optuna
Causal Inference and Discovery in Python by Packt Publishing
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】
Slides for a forecasting course based on "Forecasting: Principles and Practice"
A generalizable application framework for segmentation, regression, and classification using PyTorch
Generalized Random Forests
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
基于LSTM的时间序列预测研究
This is the code for Predicting Unmet Activities of Daily Living Needs Among the Oldest Old with Disabilities in China: A Machine Learning Approach
R package for the Synthetic Control Using Lasso (SCUL) estimator from Hollingsworth and Wing (2020)
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.