Alternatives and similar repositories for research_journal:

Users that are interested in research_journal are comparing it to the libraries listed below

• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆85Updated last month
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆30Updated 3 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆45Updated 4 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 5 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆57Updated 3 years ago
• google-deepmind / annealed_flow_transport
  ☆49Updated 2 years ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆28Updated last month
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• gpapamak / snl
  Sequential Neural Likelihood
  ☆39Updated 5 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆19Updated 3 years ago
• ansuini / IntrinsicDimDeep
  Code for the intrinsic dimensionality estimate of data representations
  ☆79Updated 5 years ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆43Updated last year
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆20Updated 8 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆30Updated 2 months ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆46Updated 2 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• kazukiosawa / ngd_in_wide_nn
  simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…
  ☆14Updated 4 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆28Updated last month
• MichaelArbel / GeneralizedEBM
  ☆53Updated 8 months ago
• aradha / deep_neural_feature_ansatz
  Code for verifying deep neural feature ansatz
  ☆16Updated last year