Alternatives and similar repositories for neurosymbolic-diffusion

Users that are interested in neurosymbolic-diffusion are comparing it to the libraries listed below

• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆63Updated 2 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆38Updated last year
• AllanYangZhou / universal_neural_functional
  ☆56Updated last year
• requeima / llm_processes
  ☆69Updated 9 months ago
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆107Updated last month
• gengala / egnca
  Official implementation of E(n)-equivariant Graph Neural Cellular Automata
  ☆35Updated 3 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆83Updated last year
• mxbi / dreamcoder-arc
  Solving the Abstraction & Reasoning Corpus with DreamCoder
  ☆56Updated last year
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆55Updated last year
• hadivafaii / IterativeVAE
  The Official PyTorch Implementation of "Brain-like Variational Inference" (NeurIPS 2025 Paper)
  ☆64Updated last month
• ML-KULeuven / klay
  Sparse Circuits on the GPU (ICLR2025)
  ☆20Updated 3 weeks ago
• Awni00 / abstractor
  This is the code repository associated with the paper "Abstractors and relational cross-attention: An inductive bias for explicit relati…
  ☆21Updated last year
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated last week
• watcl-lab / positional_attention
  Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"
  ☆14Updated 7 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆82Updated last year
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆22Updated 11 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆106Updated 2 months ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆40Updated last year
• lio-wong / dreamcoder
  ☆74Updated 3 years ago
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆28Updated 2 months ago
• thebuckleylab / jpc
  Flexible Inference for Predictive Coding Networks in JAX.
  ☆65Updated this week
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆92Updated last year
• victorvikram / ConceptARC
  Materials for ConceptARC paper
  ☆111Updated last year
• google-deepmind / neural_networks_solomonoff_induction
  Learning Universal Predictors
  ☆81Updated last year
• Benjamin-Walker / selective-ssms-and-linear-cdes
  Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)
  ☆15Updated last year
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆61Updated 7 months ago
• FieteLab / MESH
  ☆14Updated 3 years ago
• keyonvafa / world-model-evaluation
  ☆75Updated last year
• enajx / HyperNCA
  ☆41Updated 3 years ago