Alternatives and similar repositories for reasonable-embeddings

Users that are interested in reasonable-embeddings are comparing it to the libraries listed below

• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆22Updated 2 years ago
• GustikS / NeuraLogic
  Deep relational learning through differentiable logic programming.
  ☆112Updated 4 months ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆53Updated 2 years ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆30Updated 2 years ago
• ema-marconato / NeSy-CL
  Codebase for Neuro-Symbolic Continual Learning.
  ☆23Updated 2 years ago
• nerdimite / neuro-symbolic-ai-soc
  Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
  ☆59Updated 4 years ago
• ML-KULeuven / klay
  Sparse Circuits on the GPU (ICLR2025)
  ☆19Updated 3 weeks ago
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆26Updated 2 years ago
• azreasoners / NeurASP
  ☆49Updated 2 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆51Updated last year
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆17Updated 10 months ago
• IBM / neuro-symbolic-ai
  Neuro-Symbolic AI Toolkit
  ☆109Updated 2 months ago
• ml-research / SLASH
  Scalable Neural-Probabilistic Answer Set Programming
  ☆17Updated last year
• MahmudulAlam / Holographic-Reduced-Representations
  Holographic Reduced Representations
  ☆27Updated last week
• srlearn / srlearn
  ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
  ☆31Updated 3 years ago
• IBM / LOA
  Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
  ☆53Updated 2 months ago
• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆69Updated 2 weeks ago
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆164Updated last year
• art-ai / pypsdd
  The Python PSDD Package
  ☆19Updated 4 months ago
• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• ML-KULeuven / deepproblog
  DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…
  ☆282Updated last year
• cognitiveailab / neurosymbolic
  A neurosymbolic T5 agent for playing text games, from the EACL 2023 paper "Behavior Cloned Transformers are Neurosymbolic Reasoners"
  ☆19Updated 2 years ago
• logictensornetworks / logictensornetworks
  Deep Learning and Logical Reasoning from Data and Knowledge
  ☆328Updated last year
• logictensornetworks / LTNtorch
  PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
  ☆29Updated last year
• ml-research / NeSyConceptLearner
  ☆19Updated 2 years ago
• IBM / nesa-demo
  Demo for Neuro-Symbolic Agent (LOA)
  ☆17Updated 3 years ago
• deeprob-org / deeprob-kit
  A Python Library for Deep Probabilistic Modeling
  ☆62Updated last year
• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago
• ForoughA / recursiveMemNet
  Tree Stack Memory Units
  ☆17Updated 5 years ago
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated 2 years ago