lushleaf Goto Github PK
Name: Lushleaf
Type: User
Company: The University of Texas, Austin
Location: Austin, TX
Name: Lushleaf
Type: User
Company: The University of Texas, Austin
Location: Austin, TX
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Models and examples built with TensorFlow
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
Stein Repulsive Dynamics
SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)
[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects
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.