Alternatives and similar repositories for SPL

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

• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆20Updated last year
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• ml-research / nsfr
  The Neuro-Symbolic Forward Reasoner
  ☆24Updated 2 years ago
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆106Updated last week
• joshuacnf / paradox-learning2reason
  ☆34Updated 6 months ago
• ml-research / SLASH
  Scalable Neural-Probabilistic Answer Set Programming
  ☆17Updated last year
• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆15Updated 4 months ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆62Updated 4 months ago
• satwik77 / Transformer-Formal-Languages
  EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages
  ☆24Updated 4 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆50Updated last year
• azreasoners / NeurASP
  ☆45Updated last year
• adrianjav / causal-flows
  CausalFlows: A library for Causal Normalizing Flows in Pytorch
  ☆22Updated last month
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆11Updated 8 months ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• IBM / LOA
  Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
  ☆46Updated last month
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• trishullab / near
  ☆24Updated 4 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆50Updated 2 years ago
• tomsilver / policies_logic_programs
  Few-shot Bayesian Imitation Learning with Policies as Logic over Programs
  ☆19Updated 4 months ago
• logic-and-learning-lab / ilp-experiments
  Experimentation framework for Popper
  ☆23Updated last year
• claireaoi / hierarchical-rule-induction
  Neuro-Symbolic Hierarchical Rule Induction
  ☆14Updated 2 years ago
• mansheej / icl-task-diversity
  Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"
  ☆21Updated last year
• ml-research / NeSyConceptLearner
  ☆19Updated 2 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 6 months ago
• deep-spin / sparse-marginalization-lvm
  Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…
  ☆28Updated 4 years ago
• nuric / pix2rule
  From pixels to symbolic rule learning
  ☆12Updated 3 years ago
• art-ai / pypsdd
  The Python PSDD Package
  ☆16Updated last month
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated last year