Alternatives and similar repositories for abstractor

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

• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆58Updated last year
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆43Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• BerenMillidge / Theory_Associative_Memory
  repo for code for paper on general theory associative memory models
  ☆20Updated 3 years ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆105Updated last week
• ling-pan / GAFN
  ☆25Updated last year
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated 4 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
• ejmichaud / grokking-squared
  ☆27Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆92Updated 3 years ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆83Updated 6 months ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆90Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆54Updated last month
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆83Updated last year
• AllanYangZhou / universal_neural_functional
  ☆53Updated last year
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆86Updated 2 years ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆293Updated last week
• locuslab / edge-of-stability
  ☆71Updated 10 months ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆57Updated 2 years ago
• fjzzq2002 / pizza
  Code repository for "The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks"
  ☆17Updated last year
• HEmile / neurosymbolic-diffusion
  We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning
  ☆51Updated last month
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆13Updated 2 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆66Updated 3 years ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆45Updated 3 years ago