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Name: Urs Köster
Type: User
Company: Google
Bio: Deep Learning and Probabilistic Machine Learning
Location: San Diego
Name: Urs Köster
Type: User
Company: Google
Bio: Deep Learning and Probabilistic Machine Learning
Location: San Diego
Case study in state fatality rates using partial pooling with PyMC3
experimenting with gp ideas
Heisenberg: mapping complex cell receptive fields in full-field natural movies
jax
Code for two-layer and subspace Independent Component Analysis
Models and examples built with TensorFlow
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probabilistic reasoning and statistical analysis in TensorFlow
A Machine Learning library based on Theano
Score Matching
Convolutional Sparse Coding
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
Ising, RBM and sRBM model estimation with MPF and evaluation with AIS
Computation using data flow graphs for scalable machine learning
Reference models and tools for Cloud TPUs.
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.