Topic: stochastics Goto Github
Some thing interesting about stochastics
Some thing interesting about stochastics
stochastics,Distributions is a web service for showing graphs of different probability distributions.
User: a-herzog
Home Page: https://a-herzog.github.io/Distributions/
stochastics,Statistical quality control is a web service for calculating sampling plans for statistical quality control.
User: a-herzog
Home Page: https://a-herzog.github.io/QC/
stochastics,Python scripts to run PLS (Physical Layer Security) simulations using Cooperative Jamming techniques in V2X networks.
User: barbosaleo98
stochastics,Repository for the development of the stochastics library.
User: deadpyxel
Home Page: https://pypi.org/project/stochastics/
stochastics,Solutions for the "Higher Mathematics IV - Stochastics for Engineers" course
User: morphclue
stochastics,Materials for Probability Theory and Modelling
User: shiqinhuo
stochastics,Gaussian processes (GPs) are a good choice for function approximation as they are flexible, robust to over-fitting, and provide well-calibrated predictive uncertainty. Deep Gaussian processes (DGPs) are multi-layer generalisations of GPs, but inference in these models has proved challenging. Existing approaches to inference in DGP models assume approximate posteriors that force independence between the layers, and do not work well in practice. We present a doubly stochastic variational inference algorithm, which does not force independence between layers. With our method of inference we demonstrate that a DGP model can be used effectively on data ranging in size from hundreds to a billion points. We provide strong empirical evidence that our inference scheme for DGPs works well in practice in both classification and regression.
User: sourangshughosh
stochastics,Python implementation of Stochastic Variational Inference for LDA
User: sourangshughosh
stochastics,Algorithmic trading application for use with Interactive Brokers
User: tranceitionalmynd
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