Alternatives and similar repositories for Neural-Execution-Engines:

Users that are interested in Neural-Execution-Engines are comparing it to the libraries listed below

• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆45Updated 4 years ago
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆42Updated 2 years ago
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 4 years ago
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆31Updated 2 years ago
• luis-mueller / wl-transformers
  Code for our ICML 2024 paper "Aligning Transformers with Weisfeiler-Leman"
  ☆10Updated 11 months ago
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 3 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• DavideBuffelli / SizeShiftReg
  Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"
  ☆12Updated 2 years ago
• SubsetSelection / EquiVSet
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆19Updated 2 years ago
• DSL-Lab / clrs
  ☆11Updated 2 years ago
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆14Updated 8 months ago
• joshuacnf / paradox-learning2reason
  ☆34Updated 4 months ago
• felixzli / synthetic_pretraining
  ☆39Updated 2 years ago
• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆12Updated last year
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆76Updated last year
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 9 months ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆49Updated last year
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated last year
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• HKUNLP / subgoal-theorem-prover
  Code for the paper "Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving"
  ☆19Updated last year
• gbarcik / graphnets
  Extending the Neural Graph Algorithm Executor
  ☆13Updated 2 years ago
• wellecks / naturalprover
  NaturalProver: Grounded Mathematical Proof Generation with Language Models
  ☆37Updated 2 years ago
• FranxYao / RDP
  Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization
  ☆14Updated 2 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 3 years ago