Alternatives and similar repositories for rbm-pytorch:

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

• dngfra / Restricted-Boltzmann-Machines
  Implementation of restricted Boltzmann machines in Tensorflow 2
  ☆28Updated last year
• henripal / sgld
  ☆59Updated 6 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆31Updated 3 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• dragen1860 / pytorch-mnist-vae
  Pytorch Implementation of variational auto-encoder for MNIST
  ☆61Updated 6 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• gugarosa / learnergy
  💡 Learnergy is a Python library for energy-based machine learning models.
  ☆65Updated 2 weeks ago
• ghliu / mean-field-fcdnn
  ☆28Updated 5 years ago
• GabrielBianconi / pytorch-rbm
  Restricted Boltzmann Machines (RBMs) in PyTorch
  ☆161Updated 6 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆46Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated last year
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆23Updated 9 months ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆117Updated last year
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆25Updated 3 years ago
• sphinxteam / dnner
  Deep Neural Networks Entropy from Replicas
  ☆32Updated 5 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 8 months ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 2 years ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• glajoie / MAT6115_Dynamical_Systems
  Support material for MAT6115, Université de Montréal, Fall 2018
  ☆26Updated last year
• saparina / neural-ode
  Experiments with Neural Ordinary Differential Equations on image and text classification tasks
  ☆31Updated 6 years ago
• cagatayyildiz / ODE2VAE
  ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
  ☆127Updated 6 months ago
• tk-rusch / unicornn
  Official code for UnICORNN (ICML 2021)
  ☆27Updated 3 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆82Updated 3 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 8 months ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆89Updated 3 years ago