Alternatives and similar repositories for causal-flows

Users that are interested in causal-flows are comparing it to the libraries listed below

• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆122Updated 2 weeks ago
• deeprob-org / deeprob-kit
  A Python Library for Deep Probabilistic Modeling
  ☆62Updated 11 months ago
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆22Updated 4 months ago
• cambridge-mlg / EinsumNetworks
  ☆54Updated 2 years ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆30Updated last year
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆11Updated last year
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆21Updated 2 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated 2 years ago
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆37Updated 5 years ago
• SPFlow / SPFlow
  Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
  ☆303Updated this week
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆44Updated 4 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 3 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆23Updated 8 months ago
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆52Updated 3 years ago
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆130Updated 3 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• rgklab / StructuredNNs
  Structured Neural Networks
  ☆15Updated last year
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆58Updated 4 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆90Updated 7 months ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆110Updated 3 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated last year
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆459Updated last year
• izmailovpavel / understandingbdl
  ☆247Updated 2 years ago
• topnn / topnn_framework
  ☆35Updated 4 years ago