Alternatives and similar repositories for Forclift:

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

• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆55Updated 3 months ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• QuMuLab / dsharp
  ☆16Updated 2 years ago
• cambridge-mlg / EinsumNetworks
  ☆50Updated last year
• weighted-model-integration / pywmi
  ☆19Updated 2 years ago
• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆19Updated 11 months ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• ML-KULeuven / deepstochlog
  ☆26Updated last year
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆88Updated this week
• Tractables / ProbabilisticCircuits.jl
  Probabilistic Circuits from the Juice library
  ☆104Updated 8 months ago
• kamel-usp / dpasp
  Differentiable probabilistic answer set programming
  ☆18Updated 3 months ago
• art-ai / pypsdd
  The Python PSDD Package
  ☆16Updated 5 months ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated 4 months ago
• Tractables / Dice.jl
  ☆19Updated this week
• arranger1044 / DEBD
  A collection of commonly used datasets as benchmarks for density estimation in MaLe
  ☆18Updated 5 years ago
• logic-and-learning-lab / ilp-experiments
  Experimentation framework for Popper
  ☆21Updated 9 months ago
• Tractables / LogicCircuits.jl
  Logic Circuits from the Juice library
  ☆48Updated 8 months ago
• starling-lab / BoostSRL
  BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
  ☆32Updated last year
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆37Updated 4 years ago
• edin-dal / structtensor
  ☆20Updated 3 months ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆26Updated last year
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆12Updated 4 years ago
• alejandromolinaml / MSPN
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
  ☆16Updated 6 years ago
• probsys / sppl
  Probabilistic programming system for fast and exact symbolic inference
  ☆77Updated 7 months ago
• plai-group / covid
  Modelling epidemiological dynamics and performing inference in these models
  ☆27Updated 3 years ago
• davidenitti / DC
  Probabilistic logic language for inference, planning and learning in static and dynamic domains
  ☆16Updated 7 years ago
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆26Updated 9 years ago
• SHoltzen / dice
  Exact inference for discrete probabilistic programs. (Research code, more documentation and ergonomics to come)
  ☆83Updated last year