Alternatives and similar repositories for PyKE_ExpertSystem_Example_BMIN520:

Users that are interested in PyKE_ExpertSystem_Example_BMIN520 are comparing it to the libraries listed below

• mattkearns / expert-system-shell
  This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable …
  ☆33Updated 6 years ago
• ML-KULeuven / deepproblog
  DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predi…
  ☆217Updated 6 months ago
• sebdumancic / loreleai
  A toolbox for logical and probabilistic reasoning, StarAI, ILP and Program synthesis
  ☆23Updated 3 years ago
• IBM / neuro-symbolic-ai
  Neuro-Symbolic AI Toolkit
  ☆85Updated last year
• logic-and-learning-lab / Popper
  An inductive logic programming system
  ☆214Updated 2 weeks ago
• joschout / tilde
  Top-down induction of first-order logical decision trees: master AI thesis implementation
  ☆23Updated 4 years ago
• srlearn / srlearn
  ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.
  ☆31Updated 2 years ago
• IBM / ULKB
  A HOL-based framework for reasoning over knowledge graphs
  ☆24Updated 4 months ago
• 921kiyo / symbolic-rl
  Symbolic Reinforcement Learning using Inductive Logic Programming
  ☆62Updated 2 years ago
• IBM / LOA
  Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
  ☆41Updated last year
• starling-lab / BoostSRL
  BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.
  ☆32Updated last year
• GustikS / NeuraLogic
  Deep relational learning through differentiable logic programming.
  ☆102Updated 6 months ago
• logic-and-learning-lab / ilp-experiments
  Experimentation framework for Popper
  ☆21Updated 9 months ago
• you68681 / GPAR
  ☆21Updated 10 months ago
• nkatzz / ILED
  Incremental Learning Event Definitions
  ☆14Updated 9 years ago
• neurosymbolic-learning / Neurosymbolic_Tutorial
  Python notebooks for a tutorial on neurosymbolic programming
  ☆65Updated 10 months ago
• ai-systems / DILP-Core
  Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Jo…
  ☆50Updated 3 years ago
• friguzzi / aleph
  Port of Aleph to SWI-Prolog
  ☆44Updated last year
• ilaspltd / ILASP-releases
  ☆36Updated 3 months ago
• SWI-Prolog / packages-swipy
  Python interface for SWI-Prolog
  ☆45Updated 2 weeks ago
• aig-upf / tarski
  Tarski - An AI Planning Modeling Framework
  ☆64Updated 11 months ago
• princeton-nlp / blindfold-textgame
  [NAACL 2021] Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
  ☆12Updated 3 years ago
• khalil-research / ARGA-AAAI23
  Abstract Reasoning with Graph Abstractions (ARGA) implementation
  ☆60Updated 7 months ago
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆46Updated last year
• nerdimite / neuro-symbolic-ai-soc
  Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
  ☆53Updated 3 years ago
• IBM / RuDaS
  RuDaS: Synthetic Datasets for Rule Learning
  ☆18Updated 2 years ago
• potassco / plasp
  🗺️ ASP planning tools for PDDL
  ☆28Updated 3 years ago
• andrewcropper / iggp
  A. Cropper, R. Evans, and M. Law. Inductive general game playing. Machine learning, 2019.
  ☆12Updated 2 years ago
• claireaoi / hierarchical-rule-induction
  Neuro-Symbolic Hierarchical Rule Induction
  ☆12Updated 2 years ago
• nkatzz / OLED
  An Inductive Logic Programming system for online learning of event definitions in the form of Event Calculus programs
  ☆19Updated 4 years ago