neu-pml / discopyro

Related projects ⓘ

Alternatives and complementary repositories for discopyro

• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 3 years ago
• slinderman / thesis
  My PhD Thesis
  ☆21Updated 8 years ago
• j-friedrich / neuralOFC
  Neural Optimal Feedback Control
  ☆11Updated 2 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆67Updated 10 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆10Updated 9 months ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆22Updated 4 years ago
• ximenafernandez / intrinsicPH
  This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'
  ☆10Updated last year
• jgorham / stein_discrepancy
  Code to compute the Stein discrepancy between a sample distribution and its target
  ☆16Updated 7 years ago
• glajoie / MAT6115_Dynamical_Systems
  Support material for MAT6115, Université de Montréal, Fall 2018
  ☆25Updated 10 months ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• karlnapf / kernel_exp_family
  Various estimators of the infinite dimensional exponential family model
  ☆15Updated 7 years ago
• libertyh / ising-model
  Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.
  ☆18Updated 7 years ago
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆29Updated last year
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆32Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆68Updated last year
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆41Updated last year
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 6 years ago
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆48Updated last month
• lizliz / teaspoon
  ☆45Updated last year
• gehring / fax
  ☆78Updated 3 years ago
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 4 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 4 months ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 4 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆15Updated 3 years ago
• anthonycaterini / hvae-nips
  Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018
  ☆14Updated 5 years ago
• UCLA-StarAI / SparsePC
  ☆12Updated last year
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆24Updated 6 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆18Updated 4 years ago