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Name: Nadja Vater
Type: User
Name: Nadja Vater
Type: User
Example of "biological" learning for MNIST
Code for: Implicit Competitive Regularization in GANs
Sketching-based Distributed Matrix Computations for Machine Learning
PyTorch implementation of Mixed-Scale Dense Convolutional Neural Network (MS-D Net) for Image Analysis
Python implementation of the Mixed-Scale Dense Convolutional Neural Network
Environment to train neural networks with backpropagation algorithms, including new weight compression algorithm. Software is also useful for developing new algorithms.
Practical Python Programming (course by @dabeaz)
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
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.