27 skills found
settylab / MellonNon-parametric density inference for single-cell analysis.
vdorie / NpciNon-parametrics for Causal Inference
cboettig / Nonparametric Bayes:notebook: Non-parametric Bayesian Inference for Conservation Decisions
bank-of-england / Shapley RegressionsStatistical inference on machine learning or general non-parametric models
vahuynh / DynGENIE3Semi-parametric approach for the inference of gene regulatory networks from time series of expression data
kokabsc / GwkokabA JAX-based gravitational-wave population inference toolkit for parametric models
Rose-STL-Lab / AutoSTPPAutomatic 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.
Jianxun-Wang / PICNNSRSuper-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- parametric forward SR and boundary inference
haskellcamargo / Hindley Milner JsAlgorithm W implementation for type inference and parametric polymorphism in Vanilla JS
nbfigueroa / ICSC HMMToolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
catniplab / NPGLMnon-parametric inference for convolutional filters in poisson glms
IMAGINE-Consortium / ImagineInterstellar Magnetic Field Inference Engine, a modular open source framework for doing inference on generic parametric models of the Galaxy.
datamicroscopes / CommonBase package for datamicroscopes, a non-parametric bayesian inference library
jstraub / BnpC++ code and Python wrappers for Inference on Bayesian Non-Parametric Models
g-walley / CegpyCegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.
kasohn / HiHMMhiHMM: Bayesian non-parametric joint inference of chromatin state maps
eleanormurray / ABMs For Causal InferenceCode for: Murray EJ, Robins JM, George R. Seage III, Freedberg KA, Hernan MA. A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference. American Journal of Epidemiology. 2017;186(2):131-42.
llefolgo / DlviParametric Variational Inference engine in pytorch, based on the reparametrization trick and stochastic backpropagation.
americocunhajr / MaxEntMaxEnt is a Matlab toolbox for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.
asadharis / ATENon-parametric estimation and inference for average treatment effects based on covariate balancing.
