Alternatives and similar repositories for ALFI-pytorch

Users that are interested in ALFI-pytorch are comparing it to the libraries listed below

• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 6 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 5 years ago
• danieljtait / ladax
  Layered distributions using FLAX/JAX
  ☆10Updated 4 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 5 years ago
• griffinfoster / shapelets
  python-based shapelet decomposition package
  ☆26Updated 8 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 3 years ago
• GAMES-UChile / BayesianSpectralEstimation
  Bayesian nonparametric spectral estimation
  ☆14Updated 3 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• lightonai / reinforcement-learning-opu
  Code to perform Model-Free Episodic Control using Aurora OPUs
  ☆17Updated 5 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆32Updated 4 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆14Updated this week
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 5 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 7 years ago
• matt-graham / phd-thesis
  Auxiliary variable Markov chain Monte Carlo methods
  ☆10Updated 7 years ago
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 7 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated last year
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 7 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆63Updated 4 years ago
• AVMCMC / AuxiliaryVariationalMCMC
  Code required to reproduce the experiments in Auxiliary Variational MCMC
  ☆17Updated 6 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• hep-lbdl / CaloGAN
  Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
  ☆110Updated last year
• lightonai / newma-md
  Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)
  ☆16Updated 3 years ago