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Name: Daniel LeJeune
Type: User
Bio: Postdoc in Statistics at Stanford University
Location: Mountain View, CA
Blog: https://dlej.net/
Name: Daniel LeJeune
Type: User
Bio: Postdoc in Statistics at Stanford University
Location: Mountain View, CA
Blog: https://dlej.net/
Code for the paper "The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization"
Source code for experiments in "An Adaptive Tangent Feature Perspective of Neural Networks"
Cython implementation of the adaptive k-nearest-neighbor algorithm
Version control demo for D2K Learning Lab
ELEC 576 (Introduction to Deep Learning) assignments and project
ELEC 677 (Network Science and Analytics) assignments and project
Experiments demonstrating the behavior of ensembles of OLS predictors
Implementation and experiments for the GrAPL (Graph Anytime Parameter-Light) algorithm paper
ICA with Regressive Regularization
LaTeX style file for the Journal of Machine Learning Research
MASK: a framework for dimensionality reduction of variable-length sequences using RNTK
Code of the paper "Asymptotics of the Sketched Pseudoinverse"
Experiments for "Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-validation, and Tuning"
Code for the paper "TITAN: Bringing the deep image prior to implicit representations"
Proceedings of Conference on Parsimony and Learning 2024
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.