Alternatives and similar repositories for cirkit

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

• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆89Updated 2 weeks ago
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆23Updated 7 months ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆30Updated 2 years ago
• adrianjav / causal-flows
  CausalFlows: A library for Causal Normalizing Flows in Pytorch
  ☆29Updated 8 months ago
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 4 years ago
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆11Updated last year
• deeprob-org / deeprob-kit
  A Python Library for Deep Probabilistic Modeling
  ☆62Updated last year
• april-tools / pixar
  Repository of PIXAR, a Pixel-based Auto-Regressive Language Model
  ☆17Updated 3 months ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 6 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆165Updated last year
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆23Updated 2 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆61Updated this week
• SPFlow / SPFlow
  Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
  ☆305Updated last week
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆25Updated 11 months ago
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆55Updated last year
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆100Updated 2 months ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆152Updated last month
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆80Updated last year
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 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
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆51Updated last year
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• UCLA-StarAI / GeLaTo
  ☆24Updated 2 years ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆70Updated 3 weeks ago
• ejmichaud / grokking-squared
  ☆27Updated 2 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 5 years ago
• andrew-cr / online_var_fil
  Code for our paper: Online Variational Filtering and Parameter Learning
  ☆20Updated 4 years ago