pints-team Goto Github PK
Name: PINTS - Probabilistic Inference for Noisy Time Series
Type: Organization
PINTS - Probabilistic Inference for Noisy Time Series's Projects
10-tips-for-inference
boost-redist
change-point-testing
Functional testing of Pints algorithms
differential-equations-inference-db
Selected scientific time series models
electrochem_pde_model
example of using pybamm and pints for inference on a electrochemistry pde model
electrochemistry
Electrochemistry experiments in pints
electrochemistry_course
emupints
Emulators for PINTS
functional-testing-2
Sandpit for new functional testing infrastructure
method-merge-tests
Provides a house for test results for samplers when they are merged into PINTS.
performance-testing
runs all the pints samplers/optimisers against all the toy models to evaluate their performance
pints
Probabilistic Inference on Noisy Time Series
pints-api
rest api for pints problem benchmarks
pints-api-python-example
pints-methods-overview
An overview and visualisation of methods in PINTS
pints-studies
Studies, bits and pieces, pints info for ourselves that doesn't fit in the main repo
sip-sensai
SIP_SENSAI code for measure-theoretic inverse sensitivity problems by Simon Tavener
smc
Likelihood calculation for stochastic models using particle filtering
website
PINTS website (https://www.cs.ox.ac.uk/projects/PINTS/)
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