Alternatives and similar repositories for Learning-with-Holographic-Reduced-Representations

Users that are interested in Learning-with-Holographic-Reduced-Representations are comparing it to the libraries listed below

• MahmudulAlam / Holographic-Reduced-Representations
  Holographic Reduced Representations
  ☆25Updated 6 months ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated 2 weeks ago
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 3 years ago
• FutureComputing4AI / Hrrformer
  Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)
  ☆54Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆101Updated last year
• samacqua / LARC
  Language-annotated Abstraction and Reasoning Corpus
  ☆86Updated last year
• DimaKrotov / Dense_Associative_Memory
  Example of Dense Associative Memory training on MNIST
  ☆36Updated 2 years ago
• spencerkent / resonator-networks
  An implementation of Resonator Networks
  ☆19Updated 4 years ago
• ejmichaud / grokking-squared
  ☆25Updated 2 years ago
• vicariousinc / naturecomm_cscg
  ☆40Updated 2 years ago
• FieteLab / MESH
  ☆12Updated 2 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆72Updated 2 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆57Updated last year
• TrentBrick / SDMContinualLearner
  ☆17Updated 2 years ago
• dmitropolsky / assemblies
  Code for NEMO, and Assembly Calculus
  ☆106Updated 5 months ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆153Updated 4 years ago
• BerenMillidge / Theory_Associative_Memory
  repo for code for paper on general theory associative memory models
  ☆18Updated 2 years ago
• taucompling / mdlrnn
  Minimum Description Length Recurrent Neural Networks
  ☆18Updated last year
• RobertRosenbaum / Torch2PC
  Software for using predictive coding algorithms to train PyTorch models.
  ☆23Updated last year
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆31Updated 3 years ago
• mtensor / rulesynthesis
  Code for "Learning Compositional Rules via Neural Program Synthesis"
  ☆60Updated 4 years ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆27Updated last year
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆13Updated last year
• GallagherCommaJack / modulax
  ☆17Updated 8 months ago
• enajx / HyperNCA
  ☆39Updated 3 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆29Updated 5 years ago
• SuReLI / NeurOps
  Implementations of growing and pruning in neural networks
  ☆22Updated last year