probablistic-machine-learning

There are 0 repository under probablistic-machine-learning topic.

• Rose-STL-Lab / AutoSTPP

  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.

  probablistic-machine-learningspatiotemporal-data-analysis
  Language:Jupyter Notebook 22

• AlaaSedeeq / Pattern-recognition-and-machine-learning

  My chapter summaries, example solutions, and implementation for the fantastic book "Pattern recognition and machine learning" by Christopher Bishop.

  probablistic-machine-learning
  Language:Jupyter Notebook 4

• JuliaEpi / Mathepia.jl

  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.

  mathematical-epidemiologydata-sciencetime-seriestime-series-analysisuniversal-differential-equationsbayesian-inferencejuliascientific-machine-learningmathematical-biologyphysics-informed-neural-networksprobablistic-machine-learning
  Language:Julia 3

• Data4DM / stanify

  Bridging System dynamics tool (Vensim) and Bayesian computation tool (Stan)

  system-dynamicsprobablistic-languageprobablistic-machine-learning
  Language:Jupyter Notebook 2

• NeelKanwal / DeepKernelLearning

  This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."

  artifact-detectioncomputational-pathologydcnn-architecturesdeep-kernel-learningdeeplearningprobablistic-machine-learningpython
  Language:Python 2

• ElvisCuiHan / linear-models

  Linear models, Bayesian multivariate statistics, probabilistic machine leanring.

  linear-modelsprobablistic-machine-learning
  Language:HTML 1

• pvlachas / LED-Proteins

  Framework for learning effective reduced order dynamics of molecular systems.

  alanine-dipeptidelong-short-term-memorylstm-neural-networksmachine-learningmixture-density-networksmolecular-dynamicsmolecular-dynamics-simulationprobablistic-machine-learningreccurent-neural-networkminiprotein
  Language:Python 1

• upiterbarg / epimodelCOVID-19

  We use probabilistic programming (PyMC3) to roughly estimate 'R_0' and 'lambda_0' directly from pandemic infection data.

  pymc3probablistic-machine-learningsir-model
  Language:Python 0