Alternatives and similar repositories for DILP-Core:

Users that are interested in DILP-Core are comparing it to the libraries listed below

• 921kiyo / symbolic-rl
  Symbolic Reinforcement Learning using Inductive Logic Programming
  ☆62Updated 2 years ago
• mtensor / rulesynthesis
  Code for "Learning Compositional Rules via Neural Program Synthesis"
  ☆60Updated 4 years ago
• uclnlp / ntp
  End-to-End Differentiable Proving
  ☆88Updated 6 years ago
• ZhengyaoJiang / GradientInduction
  Framework of DataLog Neural Program Synthesis
  ☆26Updated 6 years ago
• ZhengyaoJiang / NLRL
  Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)
  ☆75Updated 5 years ago
• LauraRuis / groundedSCAN
  Grounded SCAN data set.
  ☆69Updated 3 years ago
• rajammanabrolu / KG-DQN
  ☆84Updated 5 years ago
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆23Updated 2 years ago
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆59Updated 5 years ago
• jacobandreas / bibs
  Annotated bibliographies.
  ☆40Updated 5 years ago
• jacobandreas / l3
  Learning with latent language
  ☆50Updated 4 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 5 years ago
• RichardEvans / apperception
  ☆80Updated 3 years ago
• uclnlp / gntp
  ☆57Updated 5 years ago
• azreasoners / NeurASP
  ☆44Updated last year
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆71Updated 2 years ago
• facebookresearch / RTFM
  Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".
  ☆38Updated 3 years ago
• dhh1995 / SCL
  PyTorch implementation for The Scattering Compositional Learner (SCL)
  ☆32Updated 4 years ago
• rajammanabrolu / KG-A2C
  Goal driven language generation using knowledge graph A2C agents
  ☆60Updated 5 years ago
• facebookresearch / productive_concept_learning
  Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…
  ☆17Updated 3 years ago
• ivegner / PyDSRL
  Faithful Python implementation of the paper "Towards Deep Symbolic Reinforcement Learning" by Garnelo et al.
  ☆13Updated 4 years ago
• i-machine-think / am-i-compositional
  ☆63Updated last year
• uclnlp / ctp
  Conditional Theorem Proving
  ☆52Updated 3 years ago
• mbchang / crl
  Automatically Composing Representation Transformations as a Means for Generalization
  ☆24Updated 5 years ago
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆42Updated 2 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆44Updated 5 years ago
• IBM / commonsense-rl
  Knowledge-Aware RL agents with Commonsense Reasoning
  ☆77Updated 3 years ago
• liqing-ustc / NGS
  Neural-Grammar-Symbolic Learning with Back-Search
  ☆53Updated 8 months ago
• claireaoi / hierarchical-rule-induction
  Neuro-Symbolic Hierarchical Rule Induction
  ☆12Updated 2 years ago
• trishullab / near
  ☆24Updated 4 years ago