Topic: probablistic-machine-learning Goto Github
Some thing interesting about probablistic-machine-learning
Some thing interesting about probablistic-machine-learning
probablistic-machine-learning,My chapter summaries, example solutions, and implementation for the fantastic book "Pattern recognition and machine learning" by Christopher Bishop.
User: alaasedeeq
probablistic-machine-learning,Bridging System dynamics tool (Vensim) and Bayesian computation tool (Stan)
Organization: data4dm
Home Page: https://data4dm.github.io/stanify/
probablistic-machine-learning,Linear models, Bayesian multivariate statistics, probabilistic machine leanring.
User: elviscuihan
probablistic-machine-learning,Spatial and temporal epidemiology data mining flow tools including data processing and analysis, model setup and simulation, inference and evaluation. Focusing on state-of-the-art methods such as universal differential equations, epidemiology-informed deep learning methods.
Organization: juliaepi
probablistic-machine-learning,This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."
User: neelkanwal
probablistic-machine-learning,Framework for learning effective reduced order dynamics of molecular systems.
User: pvlachas
probablistic-machine-learning,Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.
Organization: rose-stl-lab
Home Page: https://arxiv.org/abs/2310.06179
probablistic-machine-learning,We use probabilistic programming (PyMC3) to roughly estimate 'R_0' and 'lambda_0' directly from pandemic infection data.
User: upiterbarg
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A server is a program made to process requests and deliver data to clients.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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